I bridge the gap between Academic AI Research and Industrial Software Engineering.
Currently balancing a dual-track full-time career:
🚀 Full-Time Full-Stack Engineer (2+ years) architecting robust enterprise solutions.
🎓 Full-Time Master's Student in Information Engineering at NTUST, researching LLM Optimization.
- 💼 Professional Experience (2+ Years): Dedicated to architecting secure, reliable, and highly scalable enterprise systems. I specialize in building stable backend infrastructures with Laravel/PHP and crafting high-performance, responsive interfaces using Vue 3 and Inertia.js (SSR), ensuring overall system stability from end to end.
- 🎓 Academic Research (NTUST): Investigating efficient LLM optimization and training strategies. My research focuses on Data Selection, Curriculum Learning, and Transfer Learning to enhance training efficiency. I also explore architectural and inference optimizations including MoE (Mixture of Experts), MoD/MoR, PagedAttention, Knowledge Distillation, and FlashAttention.
| Category | Technologies |
|---|---|
| Backend |        |
| Frontend |      |
| Tooling & Ops |     |
| AI / ML |     |
| Project | Description | Tech Stack |
|---|---|---|
| Personal Blog System | Advanced CMS focusing on System Stability and Scalable Architecture. Leverages Vue 3 and SSR for optimized SEO and performance. | Laravel Vue 3 Inertia |
| Parallel Computing | Implementations of high-performance algorithms using C/C++ and MPI for distributed systems. | C/C++ MPI |
| LLM Research (Thesis) | Optimization of LLM training and inference using Curriculum Learning, Knowledge Distillation, and FlashAttention. | Python Transformers PyTorch |
- 🎧 Audiophile: I enjoy high-fidelity audio via TIDAL/Spotify.
- 🏍️ Motorcycle Enthusiast: Passionate about riding and motorcycle culture.
- 🎮 Gamer: Anime & Minecraft enthusiast.
- 🦉 Night Owl: Balancing dual full-time commitments (Work & Research).
Last updated: 2025