Madison, Wisconsin, United States
MS CS candidate at UW–Madison with a strong foundation in software engineering and AI/data systems. Skilled in backend development, databases, distributed systems, and applied AI/ML (IR, NLP, LLMs, Computer Vision). Experienced in building scalable platforms with measurable performance gains and leveraging AI-assisted tools to accelerate development. Seeking Summer 2026 internship opportunities in software engineering, data systems, or AI/ML.
Built a real-time monitoring platform, cutting BI costs by 30% and eliminating reporting delays. Migrated multi-source data into PostgreSQL with indexing, ~300× faster queries. Developed Node.js/Express APIs with Redis caching, sustaining 500+ concurrent requests <200ms. Designed React + Plotly dashboards for live workforce visibility. Adopted AI-assisted development (Copilot, ChatGPT), halving iteration time and improving code quality.
• Developed a scalable search engine processing 56k+ crawled web pages. • Implemented inverted index with optimized merging, reducing memory usage and achieving <300ms query latency. • Integrated semantic embeddings + RAG (OpenAI API) for intelligent, LLM-powered retrieval. • Improved relevance by ~15% on 20+ benchmark queries.
• Designed a computer vision pipeline with structured-light coding and stereo correspondence for depth estimation. • Improved reconstruction accuracy through point cloud refinement and mesh smoothing, reducing noise and enhancing geometric fidelity. • Built full Python pipeline (OpenCV, NumPy, Matplotlib) to generate interactive 3D models, enabling scalable visualization and analysis.
• Collaborated in a team of 6 to design a traction-type hexapod guide robot for visually impaired users. • Implemented locomotion algorithms (tripod gait, stair-climbing) with optimizations ensuring efficient and stable performance on complex terrains. • Integrated YOLOv3 stereo vision with ROS, achieving >99% stair detection accuracy in real-world stair-climbing experiments. • Recognized as a National College Student Innovation & Entrepreneurship Project.