tiennm99/cv
1
0
Fork 0
mirror of https://github.com/tiennm99/cv.git synced 2026-09-05 10:19:03 +00:00
Code Issues Packages Projects Releases Wiki Activity

chore: auto-render CV

Browse Source
This commit is contained in:
github-actions[bot]
2026-02-20 03:09:57 +00:00
parent 9857df68aa
commit a019327100
4 changed files with 1114 additions and 4328 deletions
Download Patch File Download Diff File Expand all files Collapse all files
README.md
+22 -168
View File
@@ -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
index.html
+22 -165
View File
@@ -46,194 +46,51 @@
<li>Website: <a href="https://miti99.com/">miti99.com</a></li>
<li>LinkedIn: <a href="https://linkedin.com/in/miti99">miti99</a></li>
<li>GitHub: <a href="https://github.com/tiennm99">tiennm99</a></li>
<li>Instagram: <a href="https://instagram.com/tiennm99">tiennm99</a></li>
</ul>
<h1>Welcome to RenderCV</h1>
<p>RenderCV reads a CV written in a YAML file, and generates a PDF with professional typography.</p>
<p>See the <a href="https://docs.rendercv.com">documentation</a> for more details.</p>
<h1>Education</h1>
<h2><strong>Princeton University</strong>, PhD in Computer Science -- Princeton, NJSept 2018 – May 2023</h2>
<ul>
<li>
<p>Thesis: Efficient Neural Architecture Search for Resource-Constrained Deployment</p>
</li>
<li>
<p>Advisor: Prof. Sanjeev Arora</p>
</li>
<li>
<p>NSF Graduate Research Fellowship, Siebel Scholar (Class of 2022)</p>
</li>
</ul>
<h2><strong>Boğaziçi University</strong>, BS in Computer Engineering -- Istanbul, TürkiyeSept 2014 – June 2018</h2>
<ul>
<li>
<p>GPA: 3.97/4.00, Valedictorian</p>
</li>
<li>
<p>Fulbright Scholarship recipient for graduate studies</p>
</li>
</ul>
<h2><strong>Ho Chi Minh City University of Technology</strong>, B.E. in Computer Science in Computer Science and Engineering -- Ho Chi Minh City, VietnamSept 2017 – June 2023</h2>
<h1>Experience</h1>
<h2><strong>Co-Founder &amp; CTO</strong>, Nexus AI -- San Francisco, CA</h2>
<p>June 2023 – present</p>
<h2><strong>Senior Software Engineer</strong>, ZingPlay Game Studios, VNG Corporation -- Ho Chi Minh City, Vietnam</h2>
<p>July 2020 – present</p>
<p>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.</p>
<ul>
<li>
<p>Built foundation model infrastructure serving 2M+ monthly API requests with 99.97% uptime</p>
<p><a href="https://play.google.com/store/apps/details?id=zps.games.show">Show</a></p>
</li>
<li>
<p>Raised $18M Series A led by Sequoia Capital, with participation from a16z and Founders Fund</p>
<p>A card game for Myanmar market</p>
</li>
<li>
<p>Scaled engineering team from 3 to 28 across ML research, platform, and applied AI divisions</p>
<p><a href="https://play.google.com/store/apps/details?id=zps.games.burkozel">Burkozel</a></p>
</li>
<li>
<p>Developed proprietary inference optimization reducing latency by 73% compared to baseline</p>
</li>
</ul>
<h2><strong>Research Intern</strong>, NVIDIA Research -- Santa Clara, CA</h2>
<p>May 2022 – Aug 2022</p>
<ul>
<li>
<p>Designed sparse attention mechanism reducing transformer memory footprint by 4.2x</p>
<p>A card game for the Russian audience</p>
</li>
<li>
<p>Co-authored paper accepted at NeurIPS 2022 (spotlight presentation, top 5% of submissions)</p>
</li>
</ul>
<h2><strong>Research Intern</strong>, Google DeepMind -- London, UK</h2>
<p>May 2021 – Aug 2021</p>
<ul>
<li>
<p>Developed reinforcement learning algorithms for multi-agent coordination</p>
<p><a href="https://play.google.com/store/apps/details?id=zps.games.bida3d.vn">Bida3D</a></p>
</li>
<li>
<p>Published research at top-tier venues with significant academic impact</p>
<p>Global 8-ball pool game</p>
</li>
<li>
<p>ICML 2022 main conference paper, cited 340+ times within two years</p>
<p><a href="https://play.google.com/store/apps/details?id=vn.zps.tl2">Chaos Age 2</a></p>
</li>
<li>
<p>NeurIPS 2022 workshop paper on emergent communication protocols</p>
</li>
<li>
<p>Invited journal extension in JMLR (2023)</p>
</li>
</ul>
<h2><strong>Research Intern</strong>, Apple ML Research -- Cupertino, CA</h2>
<p>May 2020 – Aug 2020</p>
<ul>
<li>
<p>Created on-device neural network compression pipeline deployed across 50M+ devices</p>
</li>
<li>
<p>Filed 2 patents on efficient model quantization techniques for edge inference</p>
</li>
</ul>
<h2><strong>Research Intern</strong>, Microsoft Research -- Redmond, WA</h2>
<p>May 2019 – Aug 2019</p>
<ul>
<li>
<p>Implemented novel self-supervised learning framework for low-resource language modeling</p>
</li>
<li>
<p>Research integrated into Azure Cognitive Services, reducing training data requirements by 60%</p>
<p>Global strategy game</p>
</li>
</ul>
<h1>Projects</h1>
<h2><strong><a href="https://github.com/">FlashInfer</a></strong></h2>
<p>Jan 2023 – present</p>
<p>Open-source library for high-performance LLM inference kernels</p>
<ul>
<li>
<p>Achieved 2.8x speedup over baseline attention implementations on A100 GPUs</p>
</li>
<li>
<p>Adopted by 3 major AI labs, 8,500+ GitHub stars, 200+ contributors</p>
</li>
</ul>
<h2><strong><a href="https://github.com/">NeuralPrune</a></strong></h2>
<p>Jan 2021</p>
<p>Automated neural network pruning toolkit with differentiable masks</p>
<ul>
<li>
<p>Reduced model size by 90% with less than 1% accuracy degradation on ImageNet</p>
</li>
<li>
<p>Featured in PyTorch ecosystem tools, 4,200+ GitHub stars</p>
</li>
</ul>
<h1>Publications</h1>
<h2><strong>Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter Models</strong></h2>
<p>July 2023</p>
<p><em>John Doe</em>, Sarah Williams, David Park</p>
<p><a href="https://doi.org/10.1234/neurips.2023.1234">10.1234/neurips.2023.1234</a> (NeurIPS 2023)</p>
<h2><strong>Neural Architecture Search via Differentiable Pruning</strong></h2>
<p>Dec 2022</p>
<p>James Liu, <em>John Doe</em></p>
<p><a href="https://doi.org/10.1234/neurips.2022.5678">10.1234/neurips.2022.5678</a> (NeurIPS 2022, Spotlight)</p>
<h2><strong>Multi-Agent Reinforcement Learning with Emergent Communication</strong></h2>
<p>July 2022</p>
<p>Maria Garcia, <em>John Doe</em>, Tom Anderson</p>
<p><a href="https://doi.org/10.1234/icml.2022.9012">10.1234/icml.2022.9012</a> (ICML 2022)</p>
<h2><strong>On-Device Model Compression via Learned Quantization</strong></h2>
<p>May 2021</p>
<p><em>John Doe</em>, Kevin Wu</p>
<p><a href="https://doi.org/10.1234/iclr.2021.3456">10.1234/iclr.2021.3456</a> (ICLR 2021, Best Paper Award)</p>
<h1>Selected Honors</h1>
<ul>
<li>
<p>MIT Technology Review 35 Under 35 Innovators (2024)</p>
</li>
<li>
<p>Forbes 30 Under 30 in Enterprise Technology (2024)</p>
</li>
<li>
<p>ACM Doctoral Dissertation Award Honorable Mention (2023)</p>
</li>
<li>
<p>Google PhD Fellowship in Machine Learning (2020 – 2023)</p>
</li>
<li>
<p>Fulbright Scholarship for Graduate Studies (2018)</p>
</li>
</ul>
<h2><strong><a href="https://tiennm99.github.io/">Static websites with Hugo</a></strong></h2>
<p>Jan 2020 – present</p>
<p>My blog on GitHub Pages using Hugo. Website for Ngăm - a charity project founded by my brother's friends.</p>
<h1>Skills</h1>
<p><strong>Languages:</strong> Python, C++, CUDA, Rust, Julia</p>
<p><strong>ML Frameworks:</strong> PyTorch, JAX, TensorFlow, Triton, ONNX</p>
<p><strong>Infrastructure:</strong> Kubernetes, Ray, distributed training, AWS, GCP</p>
<p><strong>Research Areas:</strong> Neural architecture search, model compression, efficient inference, multi-agent RL</p>
<h1>Patents</h1>
<ol>
<li>
<p>Adaptive Quantization for Neural Network Inference on Edge Devices (US Patent 11,234,567)</p>
</li>
<li>
<p>Dynamic Sparsity Patterns for Efficient Transformer Attention (US Patent 11,345,678)</p>
</li>
<li>
<p>Hardware-Aware Neural Architecture Search Method (US Patent 11,456,789)</p>
</li>
</ol>
<h1>Invited Talks</h1>
<ol>
<li>
<p>Scaling Laws for Efficient Inference — Stanford HAI Symposium (2024)</p>
</li>
<li>
<p>Building AI Infrastructure for the Next Decade — TechCrunch Disrupt (2024)</p>
</li>
<li>
<p>From Research to Production: Lessons in ML Systems — NeurIPS Workshop (2023)</p>
</li>
<li>
<p>Efficient Deep Learning: A Practitioner's Perspective — Google Tech Talk (2022)</p>
</li>
</ol>
<h1>Any Section Title</h1>
<p>You can use any section title you want.</p>
<p>You can choose any entry type for the section: <code>TextEntry</code>, <code>ExperienceEntry</code>, <code>EducationEntry</code>, <code>PublicationEntry</code>, <code>BulletEntry</code>, <code>NumberedEntry</code>, or <code>ReversedNumberedEntry</code>.</p>
<p>Markdown syntax is supported everywhere.</p>
<p>The <code>design</code> field in YAML gives you control over almost any aspect of your CV design.</p>
<p>See the <a href="https://docs.rendercv.com">documentation</a> for more details.</p>
<p><strong>Programming:</strong> Java (Netty, Vert.x, Spring Boot), JavaScript</p>
<p><strong>Databases:</strong> Couchbase, Redis, MySQL</p>
<p><strong>Tools &amp; DevOps:</strong> Git, Docker, CI/CD</p>
<h1>Interests</h1>
<p><strong>Professional:</strong> Game server architecture, distributed systems, Java performance tuning</p>
<p><strong>Personal:</strong> Reading novels &amp; manga, playing Genshin Impact &amp; TFT</p>
</article>
</body>
miti99.pdf
+1045 -3744
View File
File diff suppressed because it is too large Load Diff
miti99.typ
+25 -251
View File
@@ -85,56 +85,30 @@
= Tien Nguyen Minh
#headline([Senior Software Engineer])
#connections(
[#connection-with-icon("location-dot")[HCMC, VN]],
[#link("mailto:tiennm99@outlook.com", 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