B.S. Electrical Engineering, National Taiwan University
Built my foundation in ML, NLP, computer vision, speech, and data science.
I'm Tsung-Huan, an MSCS student at Georgia Tech, originally from Taiwan. Previously, I spent two years at Academia Sinica working across the data, training, and evaluation stack for LLM/VLM systems: VLM data pipelines and pre-training, LLM safety post-training, safety evaluator data, and adversarial attacks.
At Georgia Tech, I'm studying the stack behind AI systems that are capable, measurable, and deployable. Machine learning, deep learning, and deep reinforcement learning sharpen the modeling layer; data visualization and analysis and database concept & design ground the data layer; and hardware-software co-design for ML keeps me thinking about performance when models leave the notebook. In summer 2026, I'm joining LinkedIn to work on AI agent platforms.
Off the record: workouts, One Piece, and a playlist that can't decide between Chinese pop and R&B.
Built my foundation in ML, NLP, computer vision, speech, and data science.
Worked across VLM data and pre-training, LLM safety post-training, evaluator data, and adversarial attacks.
Presented work on preserving safety in fine-tuned LLMs.
Broadening into ML infrastructure, deep learning, RL, data systems, and HW-SW co-design.
Joining LinkedIn in summer 2026 to work on AI agent platforms.
An end-to-end meal-planning class project that connects visual nutrition estimation with a DQN planner, recommending meals and portions across multi-day horizons while balancing nutrition goals, user preference, and diversity.
Safety and security evaluation for Taiwanese LLMs, covering safeguard modeling and automatic red-teaming.
ongoing Continual pre-training of ViT-L + Llama3-Taiwan-70B on 50M images and 3B text tokens grounded in Taiwanese culture.
course-project A Jetson Nano robot combining lightweight ASR, OpenAI conversation API, TTS, and hand pose detection for multimodal interaction.