diff --git a/README.md b/README.md index 9d45fa4..0d61f83 100644 --- a/README.md +++ b/README.md @@ -5,202 +5,56 @@ - Website: [miti99.com](https://miti99.com/) - LinkedIn: [miti99](https://linkedin.com/in/miti99) - GitHub: [tiennm99](https://github.com/tiennm99) +- Instagram: [tiennm99](https://instagram.com/tiennm99) -# Welcome to RenderCV -RenderCV reads a CV written in a YAML file, and generates a PDF with professional typography. - -See the [documentation](https://docs.rendercv.com) for more details. - # Education -## **Princeton University**, PhD in Computer Science -- Princeton, NJSept 2018 – May 2023 - -- Thesis: Efficient Neural Architecture Search for Resource-Constrained Deployment - -- Advisor: Prof. Sanjeev Arora - -- NSF Graduate Research Fellowship, Siebel Scholar (Class of 2022) - - - -## **Boğaziçi University**, BS in Computer Engineering -- Istanbul, TürkiyeSept 2014 – June 2018 - -- GPA: 3.97/4.00, Valedictorian - -- Fulbright Scholarship recipient for graduate studies +## **Ho Chi Minh City University of Technology**, B.E. in Computer Science in Computer Science and Engineering -- Ho Chi Minh City, VietnamSept 2017 – June 2023 # Experience -## **Co-Founder & CTO**, Nexus AI -- San Francisco, CA +## **Senior Software Engineer**, ZingPlay Game Studios, VNG Corporation -- Ho Chi Minh City, Vietnam -June 2023 – present +July 2020 – present -- Built foundation model infrastructure serving 2M+ monthly API requests with 99.97% uptime +Started my journey at VNG Tech Fresher Program and progressed to Senior Software Engineer at ZingPlay Game Studios (ZPS). Over the years, I have honed my expertise in game server architecture and backend development using Java, while also contributing to client-side logic with Cocos and Godot when needed. -- Raised $18M Series A led by Sequoia Capital, with participation from a16z and Founders Fund +- [Show](https://play.google.com/store/apps/details?id=zps.games.show) -- Scaled engineering team from 3 to 28 across ML research, platform, and applied AI divisions + - A card game for Myanmar market -- Developed proprietary inference optimization reducing latency by 73% compared to baseline +- [Burkozel](https://play.google.com/store/apps/details?id=zps.games.burkozel) + - A card game for the Russian audience +- [Bida3D](https://play.google.com/store/apps/details?id=zps.games.bida3d.vn) -## **Research Intern**, NVIDIA Research -- Santa Clara, CA + - Global 8-ball pool game -May 2022 – Aug 2022 +- [Chaos Age 2](https://play.google.com/store/apps/details?id=vn.zps.tl2) -- Designed sparse attention mechanism reducing transformer memory footprint by 4.2x - -- Co-authored paper accepted at NeurIPS 2022 (spotlight presentation, top 5% of submissions) - - - -## **Research Intern**, Google DeepMind -- London, UK - -May 2021 – Aug 2021 - -- Developed reinforcement learning algorithms for multi-agent coordination - -- Published research at top-tier venues with significant academic impact - - - ICML 2022 main conference paper, cited 340+ times within two years - - - NeurIPS 2022 workshop paper on emergent communication protocols - - - Invited journal extension in JMLR (2023) - - - -## **Research Intern**, Apple ML Research -- Cupertino, CA - -May 2020 – Aug 2020 - -- Created on-device neural network compression pipeline deployed across 50M+ devices - -- Filed 2 patents on efficient model quantization techniques for edge inference - - - -## **Research Intern**, Microsoft Research -- Redmond, WA - -May 2019 – Aug 2019 - -- Implemented novel self-supervised learning framework for low-resource language modeling - -- Research integrated into Azure Cognitive Services, reducing training data requirements by 60% + - Global strategy game # Projects -## **[FlashInfer](https://github.com/)** +## **[Static websites with Hugo](https://tiennm99.github.io/)** -Jan 2023 – present +Jan 2020 – present -Open-source library for high-performance LLM inference kernels - -- Achieved 2.8x speedup over baseline attention implementations on A100 GPUs - -- Adopted by 3 major AI labs, 8,500+ GitHub stars, 200+ contributors +My blog on GitHub Pages using Hugo. Website for Ngăm - a charity project founded by my brother's friends. -## **[NeuralPrune](https://github.com/)** - -Jan 2021 - -Automated neural network pruning toolkit with differentiable masks - -- Reduced model size by 90% with less than 1% accuracy degradation on ImageNet - -- Featured in PyTorch ecosystem tools, 4,200+ GitHub stars - - - -# Publications -## **Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter Models** - -July 2023 - -*John Doe*, Sarah Williams, David Park - -[10.1234/neurips.2023.1234](https://doi.org/10.1234/neurips.2023.1234) (NeurIPS 2023) - - - -## **Neural Architecture Search via Differentiable Pruning** - -Dec 2022 - -James Liu, *John Doe* - -[10.1234/neurips.2022.5678](https://doi.org/10.1234/neurips.2022.5678) (NeurIPS 2022, Spotlight) - - - -## **Multi-Agent Reinforcement Learning with Emergent Communication** - -July 2022 - -Maria Garcia, *John Doe*, Tom Anderson - -[10.1234/icml.2022.9012](https://doi.org/10.1234/icml.2022.9012) (ICML 2022) - - - -## **On-Device Model Compression via Learned Quantization** - -May 2021 - -*John Doe*, Kevin Wu - -[10.1234/iclr.2021.3456](https://doi.org/10.1234/iclr.2021.3456) (ICLR 2021, Best Paper Award) - - - -# Selected Honors -- MIT Technology Review 35 Under 35 Innovators (2024) - -- Forbes 30 Under 30 in Enterprise Technology (2024) - -- ACM Doctoral Dissertation Award Honorable Mention (2023) - -- Google PhD Fellowship in Machine Learning (2020 – 2023) - -- Fulbright Scholarship for Graduate Studies (2018) - # Skills -**Languages:** Python, C++, CUDA, Rust, Julia +**Programming:** Java (Netty, Vert.x, Spring Boot), JavaScript -**ML Frameworks:** PyTorch, JAX, TensorFlow, Triton, ONNX +**Databases:** Couchbase, Redis, MySQL -**Infrastructure:** Kubernetes, Ray, distributed training, AWS, GCP +**Tools & DevOps:** Git, Docker, CI/CD -**Research Areas:** Neural architecture search, model compression, efficient inference, multi-agent RL +# Interests +**Professional:** Game server architecture, distributed systems, Java performance tuning -# Patents -1. Adaptive Quantization for Neural Network Inference on Edge Devices (US Patent 11,234,567) - -1. Dynamic Sparsity Patterns for Efficient Transformer Attention (US Patent 11,345,678) - -1. Hardware-Aware Neural Architecture Search Method (US Patent 11,456,789) - -# Invited Talks -1. Scaling Laws for Efficient Inference — Stanford HAI Symposium (2024) - -1. Building AI Infrastructure for the Next Decade — TechCrunch Disrupt (2024) - -1. From Research to Production: Lessons in ML Systems — NeurIPS Workshop (2023) - -1. Efficient Deep Learning: A Practitioner's Perspective — Google Tech Talk (2022) - -# Any Section Title -You can use any section title you want. - -You can choose any entry type for the section: `TextEntry`, `ExperienceEntry`, `EducationEntry`, `PublicationEntry`, `BulletEntry`, `NumberedEntry`, or `ReversedNumberedEntry`. - -Markdown syntax is supported everywhere. - -The `design` field in YAML gives you control over almost any aspect of your CV design. - -See the [documentation](https://docs.rendercv.com) for more details. +**Personal:** Reading novels & manga, playing Genshin Impact & TFT diff --git a/index.html b/index.html index 2380819..45b6cbe 100644 --- a/index.html +++ b/index.html @@ -46,194 +46,51 @@
  • Website: miti99.com
  • LinkedIn: miti99
  • GitHub: tiennm99
    • +
  • Instagram: tiennm99
    • -

    Welcome to RenderCV

    -

    RenderCV reads a CV written in a YAML file, and generates a PDF with professional typography.

    -

    See the documentation for more details.

    Education

    -

    Princeton University, PhD in Computer Science -- Princeton, NJSept 2018 – May 2023

    - -

    Boğaziçi University, BS in Computer Engineering -- Istanbul, TürkiyeSept 2014 – June 2018

    - +

    Ho Chi Minh City University of Technology, B.E. in Computer Science in Computer Science and Engineering -- Ho Chi Minh City, VietnamSept 2017 – June 2023

    Experience

    -

    Co-Founder & CTO, Nexus AI -- San Francisco, CA

    -

    June 2023 – present

    +

    Senior Software Engineer, ZingPlay Game Studios, VNG Corporation -- Ho Chi Minh City, Vietnam

    +

    July 2020 – present

    +

    Started my journey at VNG Tech Fresher Program and progressed to Senior Software Engineer at ZingPlay Game Studios (ZPS). Over the years, I have honed my expertise in game server architecture and backend development using Java, while also contributing to client-side logic with Cocos and Godot when needed.

    -

    Research Intern, NVIDIA Research -- Santa Clara, CA

    -

    May 2022 – Aug 2022

    - -

    Research Intern, Google DeepMind -- London, UK

    -

    May 2021 – Aug 2021

    - -

    Research Intern, Apple ML Research -- Cupertino, CA

    -

    May 2020 – Aug 2020

    - -

    Research Intern, Microsoft Research -- Redmond, WA

    -

    May 2019 – Aug 2019

    -

    Projects

    -

    FlashInfer

    -

    Jan 2023 – present

    -

    Open-source library for high-performance LLM inference kernels

    - -

    NeuralPrune

    -

    Jan 2021

    -

    Automated neural network pruning toolkit with differentiable masks

    - -

    Publications

    -

    Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter Models

    -

    July 2023

    -

    John Doe, Sarah Williams, David Park

    -

    10.1234/neurips.2023.1234 (NeurIPS 2023)

    -

    Neural Architecture Search via Differentiable Pruning

    -

    Dec 2022

    -

    James Liu, John Doe

    -

    10.1234/neurips.2022.5678 (NeurIPS 2022, Spotlight)

    -

    Multi-Agent Reinforcement Learning with Emergent Communication

    -

    July 2022

    -

    Maria Garcia, John Doe, Tom Anderson

    -

    10.1234/icml.2022.9012 (ICML 2022)

    -

    On-Device Model Compression via Learned Quantization

    -

    May 2021

    -

    John Doe, Kevin Wu

    -

    10.1234/iclr.2021.3456 (ICLR 2021, Best Paper Award)

    -

    Selected Honors

    - +

    Static websites with Hugo

    +

    Jan 2020 – present

    +

    My blog on GitHub Pages using Hugo. Website for Ngăm - a charity project founded by my brother's friends.

    Skills

    -

    Languages: Python, C++, CUDA, Rust, Julia

    -

    ML Frameworks: PyTorch, JAX, TensorFlow, Triton, ONNX

    -

    Infrastructure: Kubernetes, Ray, distributed training, AWS, GCP

    -

    Research Areas: Neural architecture search, model compression, efficient inference, multi-agent RL

    -

    Patents

    -
      -
    1. -

      Adaptive Quantization for Neural Network Inference on Edge Devices (US Patent 11,234,567)

      -
      2. -
    2. -

      Dynamic Sparsity Patterns for Efficient Transformer Attention (US Patent 11,345,678)

      -
      3. -
    3. -

      Hardware-Aware Neural Architecture Search Method (US Patent 11,456,789)

      -
      4. -
    -

    Invited Talks

    -
      -
    1. -

      Scaling Laws for Efficient Inference — Stanford HAI Symposium (2024)

      -
      2. -
    2. -

      Building AI Infrastructure for the Next Decade — TechCrunch Disrupt (2024)

      -
      3. -
    3. -

      From Research to Production: Lessons in ML Systems — NeurIPS Workshop (2023)

      -
      4. -
    4. -

      Efficient Deep Learning: A Practitioner's Perspective — Google Tech Talk (2022)

      -
      5. -
    -

    Any Section Title

    -

    You can use any section title you want.

    -

    You can choose any entry type for the section: TextEntry, ExperienceEntry, EducationEntry, PublicationEntry, BulletEntry, NumberedEntry, or ReversedNumberedEntry.

    -

    Markdown syntax is supported everywhere.

    -

    The design field in YAML gives you control over almost any aspect of your CV design.

    -

    See the documentation for more details.

    +

    Programming: Java (Netty, Vert.x, Spring Boot), JavaScript

    +

    Databases: Couchbase, Redis, MySQL

    +

    Tools & DevOps: Git, Docker, CI/CD

    +

    Interests

    +

    Professional: Game server architecture, distributed systems, Java performance tuning

    +

    Personal: Reading novels & manga, playing Genshin Impact & TFT

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/S /LI - /P 35 0 R - /K [39 0 R 37 0 R] + /S /L + /P 11 0 R + /A [<< + /O /List + /ListNumbering /Circle + >>] + /K [68 0 R 64 0 R 59 0 R 55 0 R 50 0 R 46 0 R 41 0 R 37 0 R] >> endobj 37 0 obj << /Type /StructElem - /S /LBody + /S /L /P 36 0 R + /A [<< + /O /List + /ListNumbering /Circle + >>] /K [38 0 R] >> endobj @@ -364,143 +380,148 @@ endobj 38 0 obj << /Type /StructElem - /S /P + /S /LI /P 37 0 R - /K [8] - /Pg 406 0 R + /K [40 0 R 39 0 R] >> endobj 39 0 obj << /Type /StructElem - /S /Lbl - /P 36 0 R - /K [7] - /Pg 406 0 R + /S /LBody + /P 38 0 R + /K [49] + /Pg 164 0 R >> endobj 40 0 obj << /Type /StructElem - /S /LI - /P 35 0 R - /K [43 0 R 41 0 R] + /S /Lbl + /P 38 0 R + /K [48] + /Pg 164 0 R >> endobj 41 0 obj << /Type /StructElem - /S /LBody - /P 40 0 R - /K [42 0 R] + /S /LI + /P 36 0 R + /K [45 0 R 42 0 R] >> endobj 42 0 obj << /Type /StructElem - /S /P + /S /LBody /P 41 0 R - /K [6] - /Pg 406 0 R + /K [43 0 R] >> endobj 43 0 obj << /Type /StructElem - /S /Lbl - /P 40 0 R - /K [5] - /Pg 406 0 R + /S /P + /P 42 0 R + /K [44 0 R] >> endobj 44 0 obj << /Type /StructElem - /S /LI - /P 35 0 R - /K [47 0 R 45 0 R] + /S /Link + /P 43 0 R + /K [47 << + /Type /OBJR + /Pg 164 0 R + /Obj 162 0 R + >>] + /Pg 164 0 R >> endobj 45 0 obj << /Type /StructElem - /S /LBody - /P 44 0 R - /K [46 0 R] + /S /Lbl + /P 41 0 R + /K [46] + /Pg 164 0 R >> endobj 46 0 obj << /Type /StructElem - /S /P - /P 45 0 R - /K [4] - /Pg 406 0 R + /S /L + /P 36 0 R + /A [<< + /O /List + /ListNumbering /Circle + >>] + /K [47 0 R] >> endobj 47 0 obj << /Type /StructElem - /S /Lbl - /P 44 0 R - /K [3] - /Pg 406 0 R + /S /LI + /P 46 0 R + /K [49 0 R 48 0 R] >> endobj 48 0 obj << /Type /StructElem - /S /LI - /P 35 0 R - /K [51 0 R 49 0 R] + /S /LBody + /P 47 0 R + /K [45] + /Pg 164 0 R >> endobj 49 0 obj << /Type /StructElem - /S /LBody - /P 48 0 R - /K [50 0 R] + /S /Lbl + /P 47 0 R + /K [44] + /Pg 164 0 R >> endobj 50 0 obj << /Type /StructElem - /S /P - /P 49 0 R - /K [2] - /Pg 406 0 R + /S /LI + /P 36 0 R + /K [54 0 R 51 0 R] >> endobj 51 0 obj << /Type /StructElem - /S /Lbl - /P 48 0 R - /K [1] - /Pg 406 0 R + /S /LBody + /P 50 0 R + /K [52 0 R] >> endobj 52 0 obj << /Type /StructElem - /S /H2 - /P 18 0 R - /T (Invited Talks) + /S /P + /P 51 0 R /K [53 0 R] >> endobj @@ -508,51 +529,56 @@ endobj 53 0 obj << /Type /StructElem - /S /P + /S /Link /P 52 0 R - /K [0] - /Pg 406 0 R + /K [43 << + /Type /OBJR + /Pg 164 0 R + /Obj 161 0 R + >>] + /Pg 164 0 R >> endobj 54 0 obj << /Type /StructElem - /S /L - /P 18 0 R - /A [<< - /O /List - /ListNumbering /Decimal - >>] - /K [63 0 R 59 0 R 55 0 R] + /S /Lbl + /P 50 0 R + /K [42] + /Pg 164 0 R >> endobj 55 0 obj << /Type /StructElem - /S /LI - /P 54 0 R - /K [58 0 R 56 0 R] + /S /L + /P 36 0 R + /A [<< + /O /List + /ListNumbering /Circle + >>] + /K [56 0 R] >> endobj 56 0 obj << /Type /StructElem - /S /LBody + /S /LI /P 55 0 R - /K [57 0 R] + /K [58 0 R 57 0 R] >> endobj 57 0 obj << /Type /StructElem - /S /P + /S /LBody /P 56 0 R - /K [69] - /Pg 403 0 R + /K [41] + /Pg 164 0 R >> endobj @@ -560,9 +586,9 @@ endobj << /Type /StructElem /S /Lbl - /P 55 0 R - /K [68] - /Pg 403 0 R + /P 56 0 R + /K [40] + /Pg 164 0 R >> endobj @@ -570,8 +596,8 @@ endobj << /Type /StructElem /S /LI - /P 54 0 R - /K [62 0 R 60 0 R] + /P 36 0 R + /K [63 0 R 60 0 R] >> endobj @@ -589,35 +615,43 @@ endobj /Type /StructElem /S /P /P 60 0 R - /K [67] - /Pg 403 0 R + /K [62 0 R] >> endobj 62 0 obj << /Type /StructElem - /S /Lbl - /P 59 0 R - /K [66] - /Pg 403 0 R + /S /Link + /P 61 0 R + /K [39 << + /Type /OBJR + /Pg 164 0 R + /Obj 160 0 R + >>] + /Pg 164 0 R >> endobj 63 0 obj << /Type /StructElem - /S /LI - /P 54 0 R - /K [66 0 R 64 0 R] + /S /Lbl + /P 59 0 R + /K [38] + /Pg 164 0 R >> endobj 64 0 obj << /Type /StructElem - /S /LBody - /P 63 0 R + /S /L + /P 36 0 R + /A [<< + /O /List + /ListNumbering /Circle + >>] /K [65 0 R] >> endobj @@ -625,129 +659,130 @@ endobj 65 0 obj << /Type /StructElem - /S /P + /S /LI /P 64 0 R - /K [65] - /Pg 403 0 R + /K [67 0 R 66 0 R] >> endobj 66 0 obj << /Type /StructElem - /S /Lbl - /P 63 0 R - /K [64] - /Pg 403 0 R + /S /LBody + /P 65 0 R + /K [37] + /Pg 164 0 R >> endobj 67 0 obj << /Type /StructElem - /S /H2 - /P 18 0 R - /T (Patents) - /K [68 0 R] + /S /Lbl + /P 65 0 R + /K [36] + /Pg 164 0 R >> endobj 68 0 obj << /Type /StructElem - /S /P - /P 67 0 R - /K [63] - /Pg 403 0 R + /S /LI + /P 36 0 R + /K [72 0 R 69 0 R] >> endobj 69 0 obj << /Type /StructElem - /S /P - /P 18 0 R - /K [70 0 R 62] - /Pg 403 0 R + /S /LBody + /P 68 0 R + /K [70 0 R] >> endobj 70 0 obj << /Type /StructElem - /S /Strong + /S /P /P 69 0 R - /K [61] - /Pg 403 0 R + /K [71 0 R] >> endobj 71 0 obj << /Type /StructElem - /S /P - /P 18 0 R - /K [72 0 R 60] - /Pg 403 0 R + /S /Link + /P 70 0 R + /K [35 << + /Type /OBJR + /Pg 164 0 R + /Obj 159 0 R + >>] + /Pg 164 0 R >> endobj 72 0 obj << /Type /StructElem - /S /Strong - /P 71 0 R - /K [59] - /Pg 403 0 R + /S /Lbl + /P 68 0 R + /K [34] + /Pg 164 0 R >> endobj 73 0 obj << /Type /StructElem - /S /P - /P 18 0 R - /K [74 0 R 58] - /Pg 403 0 R + /S /Span + /P 11 0 R + /A [<< + /O /Layout + /Placement /Block + >>] + /K [31 32 33] + /Pg 164 0 R >> endobj 74 0 obj << /Type /StructElem - /S /Strong - /P 73 0 R - /K [57] - /Pg 403 0 R + /S /Div + /P 11 0 R + /K [77 0 R 75 0 R] >> endobj 75 0 obj << /Type /StructElem - /S /P - /P 18 0 R - /K [76 0 R 56] - /Pg 403 0 R + /S /Div + /P 74 0 R + /K [76 0 R] >> endobj 76 0 obj << /Type /StructElem - /S /Strong + /S /P /P 75 0 R - /K [55] - /Pg 403 0 R + /K [30] + /Pg 164 0 R >> endobj 77 0 obj << /Type /StructElem - /S /H2 - /P 18 0 R - /T (Skills) + /S /Div + /P 74 0 R /K [78 0 R] >> endobj @@ -757,76 +792,74 @@ endobj /Type /StructElem /S /P /P 77 0 R - /K [54] - /Pg 403 0 R + /K [79 0 R 28 29] + /Pg 164 0 R >> endobj 79 0 obj << /Type /StructElem - /S /L - /P 18 0 R - /A [<< - /O /List - /ListNumbering /Circle - >>] - /K [96 0 R 92 0 R 88 0 R 84 0 R 80 0 R] + /S /Strong + /P 78 0 R + /K [27] + /Pg 164 0 R >> endobj 80 0 obj << /Type /StructElem - /S /LI - /P 79 0 R - /K [83 0 R 81 0 R] + /S /H2 + /P 11 0 R + /T (Experience) + /K [81 0 R] >> endobj 81 0 obj << /Type /StructElem - /S /LBody + /S /P /P 80 0 R - /K [82 0 R] + /K [26] + /Pg 164 0 R >> endobj 82 0 obj << /Type /StructElem - /S /P - /P 81 0 R - /K [53] - /Pg 403 0 R + /S /Div + /P 11 0 R + /K [85 0 R 83 0 R] >> endobj 83 0 obj << /Type /StructElem - /S /Lbl - /P 80 0 R - /K [52] - /Pg 403 0 R + /S /Div + /P 82 0 R + /K [84 0 R] >> endobj 84 0 obj << /Type /StructElem - /S /LI - /P 79 0 R - /K [87 0 R 85 0 R] + /S /P + /P 83 0 R + /K [25] + /Pg 164 0 R >> endobj 85 0 obj << /Type /StructElem - /S /LBody - /P 84 0 R + /S /Div + /P 82 0 R /K [86 0 R] >> endobj @@ -836,36 +869,38 @@ endobj /Type /StructElem /S /P /P 85 0 R - /K [51] - /Pg 403 0 R + /K [87 0 R 23 24] + /Pg 164 0 R >> endobj 87 0 obj << /Type /StructElem - /S /Lbl - /P 84 0 R - /K [50] - /Pg 403 0 R + /S /Strong + /P 86 0 R + /K [22] + /Pg 164 0 R >> endobj 88 0 obj << /Type /StructElem - /S /LI - /P 79 0 R - /K [91 0 R 89 0 R] + /S /H2 + /P 11 0 R + /T (Education) + /K [89 0 R] >> endobj 89 0 obj << /Type /StructElem - /S /LBody + /S /P /P 88 0 R - /K [90 0 R] + /K [21] + /Pg 164 0 R >> endobj @@ -873,74 +908,142 @@ endobj << /Type /StructElem /S /P - /P 89 0 R - /K [49] - /Pg 403 0 R + /P 11 0 R + /K [3 4 5 95 0 R 94 0 R 93 0 R 92 0 R 91 0 R] + /Pg 164 0 R >> endobj 91 0 obj << /Type /StructElem - /S /Lbl - /P 88 0 R - /K [48] - /Pg 403 0 R + /S /Link + /P 90 0 R + /K [18 << + /Type /OBJR + /Pg 164 0 R + /Obj 156 0 R + >> 19 << + /Type /OBJR + /Pg 164 0 R + /Obj 157 0 R + >> 20 << + /Type /OBJR + /Pg 164 0 R + /Obj 158 0 R + >>] + /Pg 164 0 R >> endobj 92 0 obj << /Type /StructElem - /S /LI - /P 79 0 R - /K [95 0 R 93 0 R] + /S /Link + /P 90 0 R + /K [15 << + /Type /OBJR + /Pg 164 0 R + /Obj 153 0 R + >> 16 << + /Type /OBJR + /Pg 164 0 R + /Obj 154 0 R + >> 17 << + /Type /OBJR + /Pg 164 0 R + /Obj 155 0 R + >>] + /Pg 164 0 R >> endobj 93 0 obj << /Type /StructElem - /S /LBody - /P 92 0 R - /K [94 0 R] + /S /Link + /P 90 0 R + /K [12 << + /Type /OBJR + /Pg 164 0 R + /Obj 150 0 R + >> 13 << + /Type /OBJR + /Pg 164 0 R + /Obj 151 0 R + >> 14 << + /Type /OBJR + /Pg 164 0 R + /Obj 152 0 R + >>] + /Pg 164 0 R >> endobj 94 0 obj << /Type /StructElem - /S /P - /P 93 0 R - /K [47] - /Pg 403 0 R + /S /Link + /P 90 0 R + /K [9 << + /Type /OBJR + /Pg 164 0 R + /Obj 147 0 R + >> 10 << + /Type /OBJR + /Pg 164 0 R + /Obj 148 0 R + >> 11 << + /Type /OBJR + /Pg 164 0 R + /Obj 149 0 R + >>] + /Pg 164 0 R >> endobj 95 0 obj << /Type /StructElem - /S /Lbl - /P 92 0 R - /K [46] - /Pg 403 0 R + /S /Link + /P 90 0 R + /K [6 << + /Type /OBJR + /Pg 164 0 R + /Obj 144 0 R + >> 7 << + /Type /OBJR + /Pg 164 0 R + /Obj 145 0 R + >> 8 << + /Type /OBJR + /Pg 164 0 R + /Obj 146 0 R + >>] + /Pg 164 0 R >> endobj 96 0 obj << /Type /StructElem - /S /LI - /P 79 0 R - /K [99 0 R 97 0 R] + /S /Span + /P 11 0 R + /A [<< + /O /Layout + /Placement /Block + >>] + /K [2] + /Pg 164 0 R >> endobj 97 0 obj << /Type /StructElem - /S /LBody - /P 96 0 R + /S /H1 + /P 11 0 R + /T (Tien Nguyen Minh) /K [98 0 R] >> endobj @@ -950,2371 +1053,82 @@ endobj /Type /StructElem /S /P /P 97 0 R - /K [45] - /Pg 403 0 R + /K [1] + /Pg 164 0 R >> endobj 99 0 obj << /Type /StructElem - /S /Lbl - /P 96 0 R - /K [44] - /Pg 403 0 R + /S /Em + /P 11 0 R + /A [<< + /O /Layout + /Placement /Block + >>] + /K [0] + /Pg 164 0 R >> endobj 100 0 obj << - /Type /StructElem - /S /H2 - /P 18 0 R - /T (Selected Honors) - /K [101 0 R] + /Type /Font + /Subtype /Type0 + /BaseFont /KQGZIY+Raleway-Italic + /Encoding /Identity-H + /DescendantFonts [101 0 R] + /ToUnicode 104 0 R >> endobj 101 0 obj -<< - /Type /StructElem - /S /P - /P 100 0 R - /K [43] - /Pg 403 0 R ->> -endobj - -102 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [103 0 R 42] - /Pg 403 0 R ->> -endobj - -103 0 obj -<< - /Type /StructElem - /S /Link - /P 102 0 R - /K [41 << - /Type /OBJR - /Pg 403 0 R - /Obj 402 0 R - >>] - /Pg 403 0 R ->> -endobj - -104 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [105 0 R 40] - /Pg 403 0 R ->> -endobj - -105 0 obj -<< - /Type /StructElem - /S /Em - /P 104 0 R - /K [39] - /Pg 403 0 R ->> -endobj - -106 0 obj -<< - /Type /StructElem - /S /Div - /P 18 0 R - /K [109 0 R 107 0 R] ->> -endobj - -107 0 obj -<< - /Type /StructElem - /S /Div - /P 106 0 R - /K [108 0 R] ->> -endobj - -108 0 obj -<< - /Type /StructElem - /S /P - /P 107 0 R - /K [38] - /Pg 403 0 R ->> -endobj - -109 0 obj -<< - /Type /StructElem - /S /Div - /P 106 0 R - /K [110 0 R] ->> -endobj - -110 0 obj -<< - /Type /StructElem - /S /P - /P 109 0 R - /K [111 0 R] ->> -endobj - -111 0 obj -<< - /Type /StructElem - /S /Strong - /P 110 0 R - /K [37] - /Pg 403 0 R ->> -endobj - -112 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [113 0 R 36] - /Pg 403 0 R ->> -endobj - -113 0 obj -<< - /Type /StructElem - /S /Link - /P 112 0 R - /K [35 << - /Type /OBJR - /Pg 403 0 R - /Obj 401 0 R - >>] - /Pg 403 0 R ->> -endobj - -114 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [32 115 0 R 34] - /Pg 403 0 R ->> -endobj - -115 0 obj -<< - /Type /StructElem - /S /Em - /P 114 0 R - /K [33] - /Pg 403 0 R ->> -endobj - -116 0 obj -<< - /Type /StructElem - /S /Div - /P 18 0 R - /K [119 0 R 117 0 R] ->> -endobj - -117 0 obj -<< - /Type /StructElem - /S /Div - /P 116 0 R - /K [118 0 R] ->> -endobj - -118 0 obj -<< - /Type /StructElem - /S /P - /P 117 0 R - /K [31] - /Pg 403 0 R ->> -endobj - -119 0 obj -<< - /Type /StructElem - /S /Div - /P 116 0 R - /K [120 0 R] ->> -endobj - -120 0 obj -<< - /Type /StructElem - /S /P - /P 119 0 R - /K [121 0 R] ->> -endobj - -121 0 obj -<< - /Type /StructElem - /S /Strong - /P 120 0 R - /K [30] - /Pg 403 0 R ->> -endobj - -122 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [123 0 R 29] - /Pg 403 0 R ->> -endobj - -123 0 obj -<< - /Type /StructElem - /S /Link - /P 122 0 R - /K [28 << - /Type /OBJR - /Pg 403 0 R - /Obj 400 0 R - >>] - /Pg 403 0 R ->> -endobj - -124 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [26 125 0 R] - /Pg 403 0 R ->> -endobj - -125 0 obj -<< - /Type /StructElem - /S /Em - /P 124 0 R - /K [27] - /Pg 403 0 R ->> -endobj - -126 0 obj -<< - /Type /StructElem - /S /Div - /P 18 0 R - /K [129 0 R 127 0 R] ->> -endobj - -127 0 obj -<< - /Type /StructElem - /S /Div - /P 126 0 R - /K [128 0 R] ->> -endobj - -128 0 obj -<< - /Type /StructElem - /S /P - /P 127 0 R - /K [25] - /Pg 403 0 R ->> -endobj - -129 0 obj -<< - /Type /StructElem - /S /Div - /P 126 0 R - /K [130 0 R] ->> -endobj - -130 0 obj -<< - /Type /StructElem - /S /P - /P 129 0 R - /K [131 0 R] ->> -endobj - -131 0 obj -<< - /Type /StructElem - /S /Strong - /P 130 0 R - /K [24] - /Pg 403 0 R ->> -endobj - -132 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [133 0 R 23] - /Pg 403 0 R ->> -endobj - -133 0 obj -<< - /Type /StructElem - /S /Link - /P 132 0 R - /K [22 << - /Type /OBJR - /Pg 403 0 R - /Obj 399 0 R - >>] - /Pg 403 0 R ->> -endobj - -134 0 obj -<< - /Type /StructElem - /S /P - /P 18 0 R - /K [135 0 R 21] - /Pg 403 0 R ->> -endobj - -135 0 obj -<< - /Type /StructElem - /S /Em - /P 134 0 R - /K [20] - /Pg 403 0 R ->> -endobj - -136 0 obj -<< - /Type /StructElem - /S /Div - /P 18 0 R - /K [139 0 R 137 0 R] ->> -endobj - -137 0 obj -<< - /Type /StructElem - /S /Div - /P 136 0 R - /K [138 0 R] ->> -endobj - -138 0 obj -<< - /Type /StructElem - /S /P - /P 137 0 R - /K [19] - /Pg 403 0 R ->> -endobj - -139 0 obj -<< - /Type /StructElem - /S /Div - /P 136 0 R - /K [140 0 R] ->> -endobj - -140 0 obj -<< - /Type /StructElem - /S /P - /P 139 0 R - /K [141 0 R] ->> -endobj - -141 0 obj -<< - /Type /StructElem - /S /Strong - /P 140 0 R - /K [16 17 18] - /Pg 403 0 R ->> -endobj - -142 0 obj -<< - /Type /StructElem - /S /H2 - /P 18 0 R - /T (Publications) - /K [143 0 R] ->> -endobj - -143 0 obj -<< - /Type /StructElem - /S /P - /P 142 0 R - /K [15] - /Pg 403 0 R ->> -endobj - -144 0 obj -<< - /Type /StructElem - /S /L - /P 18 0 R - /A [<< - /O /List - /ListNumbering /Circle - >>] - /K [149 0 R 145 0 R] ->> -endobj - -145 0 obj -<< - /Type /StructElem - /S /LI - /P 144 0 R - /K [148 0 R 146 0 R] ->> -endobj - -146 0 obj -<< - /Type /StructElem - /S /LBody - /P 145 0 R - /K [147 0 R] ->> -endobj - -147 0 obj -<< - /Type /StructElem - /S /P - /P 146 0 R - /K [14] - /Pg 403 0 R ->> -endobj - -148 0 obj -<< - /Type /StructElem - /S /Lbl - /P 145 0 R - /K [13] - /Pg 403 0 R ->> -endobj - -149 0 obj -<< - /Type /StructElem - /S /LI - /P 144 0 R - /K [152 0 R 150 0 R] ->> -endobj - -150 0 obj -<< - /Type /StructElem - /S /LBody - /P 149 0 R - /K [151 0 R] ->> -endobj - -151 0 obj -<< - /Type /StructElem - /S /P - /P 150 0 R - /K [12] - /Pg 403 0 R ->> -endobj - -152 0 obj -<< - /Type /StructElem - /S /Lbl - /P 149 0 R - /K [11] - /Pg 403 0 R ->> -endobj - -153 0 obj -<< - /Type /StructElem - /S /Span - /P 18 0 R - /A [<< - /O /Layout - /Placement /Block - >>] - /K [10] - /Pg 403 0 R ->> -endobj - -154 0 obj -<< - /Type /StructElem - /S /Div - /P 18 0 R - /K [157 0 R 155 0 R] ->> -endobj - -155 0 obj -<< - /Type /StructElem - /S /Div - /P 154 0 R - /K [156 0 R] ->> -endobj - -156 0 obj -<< - /Type /StructElem - /S /P - /P 155 0 R - /K [9] - /Pg 403 0 R ->> -endobj - -157 0 obj -<< - /Type /StructElem - /S /Div - /P 154 0 R - /K [158 0 R] ->> -endobj - -158 0 obj -<< - /Type /StructElem - /S /P - /P 157 0 R - /K [159 0 R] ->> -endobj - -159 0 obj -<< - /Type /StructElem - /S /Link - /P 158 0 R - /K [160 0 R << - /Type /OBJR - /Pg 403 0 R - /Obj 398 0 R - >>] ->> -endobj - -160 0 obj -<< - /Type /StructElem - /S /Strong - /P 159 0 R - /K [8] - /Pg 403 0 R ->> -endobj - -161 0 obj -<< - /Type /StructElem - /S /L - /P 18 0 R - /A [<< - /O /List - /ListNumbering /Circle - >>] - /K [166 0 R 162 0 R] ->> -endobj - -162 0 obj -<< - /Type /StructElem - /S /LI - /P 161 0 R - /K [165 0 R 163 0 R] ->> -endobj - -163 0 obj -<< - /Type /StructElem - /S /LBody - /P 162 0 R - /K [164 0 R] ->> -endobj - -164 0 obj -<< - /Type /StructElem - /S /P - /P 163 0 R - /K [7] - /Pg 403 0 R ->> -endobj - -165 0 obj -<< - /Type /StructElem - /S /Lbl - /P 162 0 R - /K [6] - /Pg 403 0 R ->> -endobj - -166 0 obj -<< - /Type /StructElem - /S /LI - /P 161 0 R - /K [169 0 R 167 0 R] ->> -endobj - -167 0 obj -<< - /Type /StructElem - /S /LBody - /P 166 0 R - /K [168 0 R] ->> -endobj - 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icon: false, if-underline: false, if-color: false)[#connection-with-icon("envelope")[tiennm99\@outlook.com]]], [#link("https://miti99.com/", icon: false, if-underline: false, if-color: false)[#connection-with-icon("link")[miti99.com]]], [#link("https://linkedin.com/in/miti99", icon: false, if-underline: false, if-color: false)[#connection-with-icon("linkedin")[miti99]]], [#link("https://github.com/tiennm99", icon: false, if-underline: false, if-color: false)[#connection-with-icon("github")[tiennm99]]], + [#link("https://instagram.com/tiennm99", icon: false, if-underline: false, if-color: false)[#connection-with-icon("instagram")[tiennm99]]], ) -== Welcome to RenderCV - -RenderCV reads a CV written in a YAML file, and generates a PDF with professional typography. - -See the #link("https://docs.rendercv.com")[documentation] for more details. - == Education #education-entry( [ - #strong[Princeton University], PhD in Computer Science -- Princeton, NJ + #strong[Ho Chi Minh City University of Technology], B.E. in Computer Science in Computer Science and Engineering -- Ho Chi Minh City, Vietnam ], [ - Sept 2018 – May 2023 + Sept 2017 – June 2023 ], main-column-second-row: [ - - Thesis: Efficient Neural Architecture Search for Resource-Constrained Deployment - - - Advisor: Prof. Sanjeev Arora - - - NSF Graduate Research Fellowship, Siebel Scholar (Class of 2022) - - ], -) - -#education-entry( - [ - #strong[Boğaziçi University], BS in Computer Engineering -- Istanbul, Türkiye - - ], - [ - Sept 2014 – June 2018 - - ], - main-column-second-row: [ - - GPA: 3.97\/4.00, Valedictorian - - - Fulbright Scholarship recipient for graduate studies - ], ) @@ -142,95 +116,31 @@ See the #link("https://docs.rendercv.com")[documentation] for more details. #regular-entry( [ - #strong[Co-Founder & CTO], Nexus AI -- San Francisco, CA + #strong[Senior Software Engineer], ZingPlay Game Studios, VNG Corporation -- Ho Chi Minh City, Vietnam ], [ - June 2023 – present + July 2020 – present ], main-column-second-row: [ - - Built foundation model infrastructure serving 2M+ monthly API requests with 99.97\% uptime + #summary[Started my journey at VNG Tech Fresher Program and progressed to Senior Software Engineer at ZingPlay Game Studios (ZPS). Over the years, I have honed my expertise in game server architecture and backend development using Java, while also contributing to client-side logic with Cocos and Godot when needed.] - - Raised \$18M Series A led by Sequoia Capital, with participation from a16z and Founders Fund + - #link("https://play.google.com/store/apps/details?id=zps.games.show")[Show] - - Scaled engineering team from 3 to 28 across ML research, platform, and applied AI divisions + - A card game for Myanmar market - - Developed proprietary inference optimization reducing latency by 73\% compared to baseline + - #link("https://play.google.com/store/apps/details?id=zps.games.burkozel")[Burkozel] - ], -) + - A card game for the Russian audience -#regular-entry( - [ - #strong[Research Intern], NVIDIA Research -- Santa Clara, CA + - #link("https://play.google.com/store/apps/details?id=zps.games.bida3d.vn")[Bida3D] - ], - [ - May 2022 – Aug 2022 + - Global 8-ball pool game - ], - main-column-second-row: [ - - Designed sparse attention mechanism reducing transformer memory footprint by 4.2x + - #link("https://play.google.com/store/apps/details?id=vn.zps.tl2")[Chaos Age 2] - - Co-authored paper accepted at NeurIPS 2022 (spotlight presentation, top 5\% of submissions) - - ], -) - -#regular-entry( - [ - #strong[Research Intern], Google DeepMind -- London, UK - - ], - [ - May 2021 – Aug 2021 - - ], - main-column-second-row: [ - - Developed reinforcement learning algorithms for multi-agent coordination - - - Published research at top-tier venues with significant academic impact - - - ICML 2022 main conference paper, cited 340+ times within two years - - - NeurIPS 2022 workshop paper on emergent communication protocols - - - Invited journal extension in JMLR (2023) - - ], -) - -#regular-entry( - [ - #strong[Research Intern], Apple ML Research -- Cupertino, CA - - ], - [ - May 2020 – Aug 2020 - - ], - main-column-second-row: [ - - Created on-device neural network compression pipeline deployed across 50M+ devices - - - Filed 2 patents on efficient model quantization techniques for edge inference - - ], -) - -#regular-entry( - [ - #strong[Research Intern], Microsoft Research -- Redmond, WA - - ], - [ - May 2019 – Aug 2019 - - ], - main-column-second-row: [ - - Implemented novel self-supervised learning framework for low-resource language modeling - - - Research integrated into Azure Cognitive Services, reducing training data requirements by 60\% + - Global strategy game ], ) @@ -239,165 +149,29 @@ See the #link("https://docs.rendercv.com")[documentation] for more details. #regular-entry( [ - #strong[#link("https://github.com/")[FlashInfer]] + #strong[#link("https://tiennm99.github.io/")[Static websites with Hugo]] ], [ - Jan 2023 – present + Jan 2020 – present ], main-column-second-row: [ - #summary[Open-source library for high-performance LLM inference kernels] - - - Achieved 2.8x speedup over baseline attention implementations on A100 GPUs - - - Adopted by 3 major AI labs, 8,500+ GitHub stars, 200+ contributors + #summary[My blog on GitHub Pages using Hugo. Website for Ngăm - a charity project founded by my brother's friends.] ], ) -#regular-entry( - [ - #strong[#link("https://github.com/")[NeuralPrune]] - - ], - [ - Jan 2021 - - ], - main-column-second-row: [ - #summary[Automated neural network pruning toolkit with differentiable masks] - - - Reduced model size by 90\% with less than 1\% accuracy degradation on ImageNet - - - Featured in PyTorch ecosystem tools, 4,200+ GitHub stars - - ], -) - -== Publications - -#regular-entry( - [ - #strong[Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter Models] - - ], - [ - July 2023 - - ], - main-column-second-row: [ - #emph[John Doe], Sarah Williams, David Park - - #link("https://doi.org/10.1234/neurips.2023.1234")[10.1234\/neurips.2023.1234] (NeurIPS 2023) - - ], -) - -#regular-entry( - [ - #strong[Neural Architecture Search via Differentiable Pruning] - - ], - [ - Dec 2022 - - ], - main-column-second-row: [ - James Liu, #emph[John Doe] - - #link("https://doi.org/10.1234/neurips.2022.5678")[10.1234\/neurips.2022.5678] (NeurIPS 2022, Spotlight) - - ], -) - -#regular-entry( - [ - #strong[Multi-Agent Reinforcement Learning with Emergent Communication] - - ], - [ - July 2022 - - ], - main-column-second-row: [ - Maria Garcia, #emph[John Doe], Tom Anderson - - #link("https://doi.org/10.1234/icml.2022.9012")[10.1234\/icml.2022.9012] (ICML 2022) - - ], -) - -#regular-entry( - [ - #strong[On-Device Model Compression via Learned Quantization] - - ], - [ - May 2021 - - ], - main-column-second-row: [ - #emph[John Doe], Kevin Wu - - #link("https://doi.org/10.1234/iclr.2021.3456")[10.1234\/iclr.2021.3456] (ICLR 2021, Best Paper Award) - - ], -) - -== Selected Honors - -- MIT Technology Review 35 Under 35 Innovators (2024) - -- Forbes 30 Under 30 in Enterprise Technology (2024) - -- ACM Doctoral Dissertation Award Honorable Mention (2023) - -- Google PhD Fellowship in Machine Learning (2020 – 2023) - -- Fulbright Scholarship for Graduate Studies (2018) - == Skills -#strong[Languages:] Python, C++, CUDA, Rust, Julia +#strong[Programming:] Java (Netty, Vert.x, Spring Boot), JavaScript -#strong[ML Frameworks:] PyTorch, JAX, TensorFlow, Triton, ONNX +#strong[Databases:] Couchbase, Redis, MySQL -#strong[Infrastructure:] Kubernetes, Ray, distributed training, AWS, GCP +#strong[Tools & DevOps:] Git, Docker, CI\/CD -#strong[Research Areas:] Neural architecture search, model compression, efficient inference, multi-agent RL +== Interests -== Patents +#strong[Professional:] Game server architecture, distributed systems, Java performance tuning -+ Adaptive Quantization for Neural Network Inference on Edge Devices (US Patent 11,234,567) - -+ Dynamic Sparsity Patterns for Efficient Transformer Attention (US Patent 11,345,678) - -+ Hardware-Aware Neural Architecture Search Method (US Patent 11,456,789) - -== Invited Talks - -#reversed-numbered-entries( - [ - -+ Scaling Laws for Efficient Inference — Stanford HAI Symposium (2024) - -+ Building AI Infrastructure for the Next Decade — TechCrunch Disrupt (2024) - -+ From Research to Production: Lessons in ML Systems — NeurIPS Workshop (2023) - -+ Efficient Deep Learning: A Practitioner's Perspective — Google Tech Talk (2022) - ], -) - -== Any Section Title - -You can use any section title you want. - -You can choose any entry type for the section: `TextEntry`, `ExperienceEntry`, `EducationEntry`, `PublicationEntry`, `BulletEntry`, `NumberedEntry`, or `ReversedNumberedEntry`. - -Markdown syntax is supported everywhere. - -The `design` field in YAML gives you control over almost any aspect of your CV design. - -See the #link("https://docs.rendercv.com")[documentation] for more details. +#strong[Personal:] Reading novels & manga, playing Genshin Impact & TFT