Update miti99.yml

miti99.yml

@@ -1,7 +1,7 @@
 # yaml-language-server: $schema=https://raw.githubusercontent.com/rendercv/rendercv/refs/tags/v2.6/schema.json
 cv:
   name: Tien Nguyen Minh
-  headline:
+  headline: Senior Software Engineer
   location: HCMC, VN
   email: tiennm99@outlook.com
   photo:
@@ -12,179 +12,53 @@ cv:
       username: miti99
     - network: GitHub
       username: tiennm99
+    - network: Instagram
+      username: tiennm99
   custom_connections:
   sections:
-    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:
-      - institution: Princeton University
-        area: Computer Science
-        degree: PhD
+      - institution: Ho Chi Minh City University of Technology
+        area: Computer Science and Engineering
+        degree: B.E. in Computer Science
         date:
-        start_date: 2018-09
-        end_date: 2023-05
-        location: Princeton, NJ
+        start_date: 2017-09
+        end_date: 2023-06
+        location: Ho Chi Minh City, Vietnam
         summary:
         highlights:
-          - 'Thesis: Efficient Neural Architecture Search for Resource-Constrained Deployment'
-          - 'Advisor: Prof. Sanjeev Arora'
-          - NSF Graduate Research Fellowship, Siebel Scholar (Class of 2022)
-      - institution: Boğaziçi University
-        area: Computer Engineering
-        degree: BS
-        date:
-        start_date: 2014-09
-        end_date: 2018-06
-        location: Istanbul, Türkiye
-        summary:
-        highlights:
-          - 'GPA: 3.97/4.00, Valedictorian'
-          - Fulbright Scholarship recipient for graduate studies
     experience:
-      - company: Nexus AI
-        position: Co-Founder & CTO
+      - company: ZingPlay Game Studios, VNG Corporation
+        position: Senior Software Engineer
         date:
-        start_date: 2023-06
+        start_date: 2020-07
         end_date: present
-        location: San Francisco, CA
-        summary:
+        location: Ho Chi Minh City, Vietnam
+        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.
         highlights:
-          - Built foundation model infrastructure serving 2M+ monthly API requests with 99.97% uptime
-          - Raised $18M Series A led by Sequoia Capital, with participation from a16z and Founders Fund
-          - Scaled engineering team from 3 to 28 across ML research, platform, and applied AI divisions
-          - Developed proprietary inference optimization reducing latency by 73% compared to baseline
-      - company: NVIDIA Research
-        position: Research Intern
-        date:
-        start_date: 2022-05
-        end_date: 2022-08
-        location: Santa Clara, CA
-        summary:
-        highlights:
-          - Designed sparse attention mechanism reducing transformer memory footprint by 4.2x
-          - Co-authored paper accepted at NeurIPS 2022 (spotlight presentation, top 5% of submissions)
-      - company: Google DeepMind
-        position: Research Intern
-        date:
-        start_date: 2021-05
-        end_date: 2021-08
-        location: London, UK
-        summary:
-        highlights:
-          - 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)
-      - company: Apple ML Research
-        position: Research Intern
-        date:
-        start_date: 2020-05
-        end_date: 2020-08
-        location: Cupertino, CA
-        summary:
-        highlights:
-          - Created on-device neural network compression pipeline deployed across 50M+ devices
-          - Filed 2 patents on efficient model quantization techniques for edge inference
-      - company: Microsoft Research
-        position: Research Intern
-        date:
-        start_date: 2019-05
-        end_date: 2019-08
-        location: Redmond, WA
-        summary:
-        highlights:
-          - Implemented novel self-supervised learning framework for low-resource language modeling
-          - Research integrated into Azure Cognitive Services, reducing training data requirements by 60%
+          - "[Show](https://play.google.com/store/apps/details?id=zps.games.show) - A card game for Myanmar market"
+          - "[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) - Global 8-ball pool game"
+          - "[Chaos Age 2](https://play.google.com/store/apps/details?id=vn.zps.tl2) - Global strategy game"
     projects:
-      - name: '[FlashInfer](https://github.com/)'
+      - name: "[Static websites with Hugo](https://tiennm99.github.io/)"
         date:
-        start_date: 2023-01
+        start_date: 2020-01
         end_date: present
         location:
-        summary: Open-source library for high-performance LLM inference kernels
+        summary: My blog on GitHub Pages using Hugo. Website for Ngăm - a charity project founded by my brother's friends.
         highlights:
-          - Achieved 2.8x speedup over baseline attention implementations on A100 GPUs
-          - Adopted by 3 major AI labs, 8,500+ GitHub stars, 200+ contributors
-      - name: '[NeuralPrune](https://github.com/)'
-        date: '2021'
-        start_date:
-        end_date:
-        location:
-        summary: Automated neural network pruning toolkit with differentiable masks
-        highlights:
-          - Reduced model size by 90% with less than 1% accuracy degradation on ImageNet
-          - Featured in PyTorch ecosystem tools, 4,200+ GitHub stars
-    publications:
-      - title: 'Sparse Mixture-of-Experts at Scale: Efficient Routing for Trillion-Parameter Models'
-        authors:
-          - '*John Doe*'
-          - Sarah Williams
-          - David Park
-        summary:
-        doi: 10.1234/neurips.2023.1234
-        url:
-        journal: NeurIPS 2023
-        date: 2023-07
-      - title: Neural Architecture Search via Differentiable Pruning
-        authors:
-          - James Liu
-          - '*John Doe*'
-        summary:
-        doi: 10.1234/neurips.2022.5678
-        url:
-        journal: NeurIPS 2022, Spotlight
-        date: 2022-12
-      - title: Multi-Agent Reinforcement Learning with Emergent Communication
-        authors:
-          - Maria Garcia
-          - '*John Doe*'
-          - Tom Anderson
-        summary:
-        doi: 10.1234/icml.2022.9012
-        url:
-        journal: ICML 2022
-        date: 2022-07
-      - title: On-Device Model Compression via Learned Quantization
-        authors:
-          - '*John Doe*'
-          - Kevin Wu
-        summary:
-        doi: 10.1234/iclr.2021.3456
-        url:
-        journal: ICLR 2021, Best Paper Award
-        date: 2021-05
-    selected_honors:
-      - bullet: MIT Technology Review 35 Under 35 Innovators (2024)
-      - bullet: Forbes 30 Under 30 in Enterprise Technology (2024)
-      - bullet: ACM Doctoral Dissertation Award Honorable Mention (2023)
-      - bullet: Google PhD Fellowship in Machine Learning (2020 – 2023)
-      - bullet: Fulbright Scholarship for Graduate Studies (2018)
     skills:
-      - label: Languages
-        details: Python, C++, CUDA, Rust, Julia
-      - label: ML Frameworks
-        details: PyTorch, JAX, TensorFlow, Triton, ONNX
-      - label: Infrastructure
-        details: Kubernetes, Ray, distributed training, AWS, GCP
-      - label: Research Areas
-        details: Neural architecture search, model compression, efficient inference, multi-agent RL
-    patents:
-      - number: Adaptive Quantization for Neural Network Inference on Edge Devices (US Patent 11,234,567)
-      - number: Dynamic Sparsity Patterns for Efficient Transformer Attention (US Patent 11,345,678)
-      - number: Hardware-Aware Neural Architecture Search Method (US Patent 11,456,789)
-    invited_talks:
-      - reversed_number: Scaling Laws for Efficient Inference — Stanford HAI Symposium (2024)
-      - reversed_number: Building AI Infrastructure for the Next Decade — TechCrunch Disrupt (2024)
-      - reversed_number: 'From Research to Production: Lessons in ML Systems — NeurIPS Workshop (2023)'
-      - reversed_number: "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.
+      - label: Programming
+        details: Java (Netty, Vert.x, Spring Boot), JavaScript
+      - label: Databases
+        details: Couchbase, Redis, MySQL
+      - label: Tools & DevOps
+        details: Git, Docker, CI/CD
+    interests:
+      - label: Professional
+        details: Game server architecture, distributed systems, Java performance tuning
+      - label: Personal
+        details: Reading novels & manga, playing Genshin Impact & TFT
 design:
   theme: engineeringclassic
   # page:
@@ -351,7 +225,7 @@ locale:
   #   - November
   #   - December
 settings:
-  current_date: '2026-02-20'
+  current_date: "2026-02-20"
   render_command:
     design:
     locale: