I work across TypeScript, Python, Rust, and Dart to turn ideas into usable software. My current focus is local-first desktop apps, AI-assisted workflows, course-planning utilities, and small ML experiments that are easy to understand, run, and improve.
Contributing to club web interfaces and internal tooling while strengthening practical full-stack skills across React, TypeScript, APIs, databases, and deployment workflows.
Studying the PictoPy codebase and contributing to open-source workflows around image organization, object detection, and face-clustering as part of the GirlScript Summer of Code 2026 program.
Undergraduate coursework in computer science, software engineering, algorithms, and systems fundamentals. Current CGPA: 9.38 / 10.00.
A local-first desktop productivity prototype built with Tauri, React, and Rust. It explores AI chat, notes, schedules, activity tracking, and filesystem-aware workflows inside one desktop shell.
A full-stack web application that streams music directly from YouTube API sources. Built with a Flask backend and React frontend, supporting search queries, playlist creation, and a custom playbar player.
A chess AI project implementing minimax search, alpha-beta pruning, and board evaluation heuristics. Built as a practical algorithms exercise in Python.
A sentiment-analysis pipeline for movie reviews using TF-IDF feature extraction and scikit-learn classifiers. Focused on model training, evaluation, and text preprocessing basics.
A responsive workout log for tracking calisthenics routines, progress volume, and training consistency. Deployed as a small public web app.
A storefront UI prototype with catalog layouts, filters, and simple cart interactions. Built to practice responsive frontend structure.
I am looking for software engineering internships, open-source mentorship, and project collaborations where I can keep building useful, well-documented tools.