04
Turning messy information into usable software.
- CS @ NYCU
- AI-assisted workflows
- Documents · data · sensing
- Open to internships
AI
Primary Focus
NYCU
Computer Science
OPEN
Internships
Systems shaped by constraints.
Each project documents the problem, workflow, interface decisions, technical tradeoffs, and the next iteration.
Wireless sensing, preprocessing, and privacy constraints.
WiFi CSI / Privacy-Preserving Sensing
Thesis-oriented work exploring how WiFi channel state information can support sensing tasks while avoiding direct visual capture.
CSI capture and preprocessing
Feature extraction from signal patterns
Machine learning experiments
Privacy and deployment constraint analysis
Tools for building useful systems.
A practical stack across frontend interfaces, backend data flows, AI workflows, and research experimentation.
Frontend Systems
Responsive interfaces, component systems, dashboards, and structured product surfaces.
AI / Data
Practical AI flows for extraction, summarization, data processing, and decision support.
Backend / Database
Data models, operational flows, persistence boundaries, and reporting logic.
Research / Sensing
Research pipelines for signal data, controlled experiments, and privacy-aware sensing.
Product Design
Interfaces shaped around the task, the constraints, and the next decision a user needs to make.
Notes for future technical writing.
Short technical notes, project retrospectives, and research observations will live here as the portfolio matures.
Designing confirmation flows for AI productivity tools
Notes on making extraction useful without allowing AI systems to silently change user-owned tasks.
Why useful AI starts with workflow constraints
A short technical reflection on why product boundaries matter more than impressive model behavior.