CS undergraduate student focused on Computer Vision, Edge AI, AI Infrastructure, Multimodal AI, and Cloud Computing.
- Computer Vision and OCR
- Edge AI and model deployment
- AI infrastructure and developer tooling
- Multimodal AI applications
- Cloud computing and scalable systems
Automated classification pipeline for handwritten Traditional Chinese characters from scanned worksheets.
- Field: Computer Vision / OCR
- Tech: Python, OpenCV, Tesseract OCR
- Result: 99.99% grid detection coverage, ~95% OCR classification accuracy
AI-powered music recommendation platform that generates playlists from user mood.
- Field: Multimodal AI / AI application
- Tech: Python, FastAPI, LLM, music emotion classification
- Built: emotion-to-playlist recommendation flow and GUI/player integration
AI scheduling assistant prototype for task and time organization.
- Field: AI application / productivity tooling
- Tech: Jupyter Notebook, Python
Dashboard demo for public transportation data exploration.
- Field: Data visualization / cloud-ready dashboard
- Tech: Python
- microsoft/edge-ai#621 — documented regression test tracking for Edge AI infrastructure workflows
- microsoft/gctoolkit#547 — added Javadoc for JVM diary API types
- microsoft/PyRIT#2035 — clarified generated-code security scorer use case
- Finesssee/Win-CodexBar#69 — fixed Windows API port discovery for an AI tooling provider
- edge-ai — exploring cloud and edge AI infrastructure patterns
- gctoolkit — JVM GC log parsing and infrastructure tooling
- PyRIT — generative AI risk identification framework
- Win-CodexBar — AI developer tooling and usage tracking on Windows
Email: daniel0902life@gmail.com
💼 LinkedIn: https://www.linkedin.com/in/danielweng0902/
🌐 GitHub：https://github.com/Danielweng0902