I'm a computer science student interested in software engineering, computer vision, and machine learning, currently seeking SWE and data science/ML internships.
I enjoy building pipelines that turn raw data into useful results—from comparing basketball shooting form to deciding which images need a second model's review.
Automated image dataset labeling and verification · Python, YOLO, Gemini
Team project that combines object detection with selective model verification and a review workflow.
My contribution: Built the image-verification pipeline that checks YOLO prediction uncertainty and routes uncertain images to Gemini, reducing the need to send every image for additional verification.
Award: Best Use of Gemini API — FullyHacks 2026.
Project story and demo
Basketball shooting-form analysis · Python, MediaPipe, OpenCV, Next.js
Team project that compares app-captured shooting data with NBA player references and provides coaching feedback.
My contribution: Helped build the professional-shot comparison pipeline and reference-data collection, using joint angles and normalized wrist height to compare shooting form.
Awards: Healthcare Track Winner and Hacker's Choice Award — PantherHacks 2026.
Project story and demo
Personalized tech-career roadmaps · JavaScript, Node.js, AI APIs
Started at Cal Hacks 12.0, with intermittent team improvements afterward.
My contribution: Built the initial Groq/Firestore job-ranking pipeline and restructured result storage into compact summaries and paginated subcollections. Also developed a local skill-analysis prototype for personalized learning recommendations.
StaffTable — an unfinished personal restaurant-scheduling project using React, Express, and MongoDB.
Python · JavaScript · TypeScript · Node.js · React · Next.js · FastAPI · OpenCV · MediaPipe · YOLO · Firebase/Firestore · MongoDB