AI SYSTEMS · MACHINE LEARNING · COMPUTER ARCHITECTURE
Pei Ling Chang
Computer Science M.S. student and AI systems builder based in Taiwan.
SUMMARY
Computer Science graduate student with hands-on experience building AI applications, research prototypes, backend systems, computer-vision pipelines, and computer-architecture simulations. Experienced with Python, Git, Linux, LLM workflows, technical documentation, and open-source review.
EDUCATION
National Dong Hwa University
SELECTED PROJECTS
Neko.exe — Event-Driven AI VTuber
- Built an event-driven pipeline that converts live game events into context-aware AI commentary.
- Integrated conversation memory, LLM routing, character responses, and runtime outputs for streaming workflows.
PIM-Aware Coherent NoC Research
- Investigating congestion onset and adaptive control in coherent on-chip networks for processing-in-memory workloads.
- Planning a small synthesizable digital PIM primitive to connect system-level study with implementable hardware.
Plant Electrophysiology Modeling
- Modeled nonlinear plant electrical signals using latent dynamics, sparse system identification, and external stimulus coupling.
- Evaluated model stability and topology under noisy conditions.
Figure Skating AI Coach
- Built a pose-based motion-analysis and feedback pipeline for figure-skating movements.
- Designed phase-aware analysis for loading, takeoff, landing, recovery, and exit behavior.
OPEN SOURCE
Cardano Foundation — cardano-org Contributor
- Merged PR #705 to update outdated production app-directory links after verifying replacement domains.
- Merged PR #706 to explain the Net Change Limit governance concept and improve related chart wording.
- Worked through issue selection, branching, review feedback, revision, and merge.
TECHNICAL SKILLS
Programming: Python, C, C++, Bash
AI / Data: PyTorch, scikit-learn, OpenCV, MediaPipe, LLM workflows, prompt design, model evaluation
Systems: Computer architecture, Network-on-Chip, embedded systems, performance simulation
Tools: Git, GitHub, Linux, WSL, VS Code, FastAPI
LANGUAGES
Mandarin Chinese — Native
English — Professional working proficiency
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