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