3rd-year IT student · Machine Learning & Deep Reinforcement Learning · Full-stack
- 🎓 Third-year Information Technology student in Ho Chi Minh City, specializing in Machine Learning & Applications. Expected graduation: 2027.
- 🔬 Research focus: Deep Reinforcement Learning for adaptive bitrate (ABR) video streaming — DQN vs. BOLA / rate-based baselines, content-aware reward design.
- 🛠️ I build full-stack products with Next.js + NestJS and ML pipelines with Python / PyTorch.
- 🌱 Currently exploring: RAG for Vietnamese, semi-supervised clustering, graph neural networks.
| Project | What it is | Stack |
|---|---|---|
| DQN_ABR_Project | Deep Q-Network for adaptive bitrate streaming in HLS, with a comparative study against BOLA and rate-based algorithms (based on Pensieve). | Python · PyTorch |
| abr-content-aware | Research prototype for content-aware ABR: proxy-label sensitivity estimation, reward shaping, Plume-style synthetic trace sampling, reproducible verification pipeline. Limitations are documented openly in the repo. | Python · scikit-learn |
| dat-san-vn | Full-stack sports field booking platform — search, book and match online. Live demo | Next.js · NestJS · TypeScript |
| ble_emergency_app | SOS Mesh: offline emergency messaging over a Bluetooth Low Energy mesh, with end-to-end encrypted private messages and GPS-tagged SOS. | Flutter · Kotlin |
| xiangqi-arena | Online Xiangqi (Chinese chess) platform, team project for the IT Project Management course. I own the Admin / Report / Database layer. | Next.js · NestJS · PostgreSQL · Socket.IO · pnpm workspaces |