I’m a Computational Biology student at Columbia University interested in software engineering, data, and financial technology.
I build full-stack and data-driven tools that make complex information easier to organize, analyze, and use.
My work includes projects in fintech, AI tools, clinical research software, search systems, and developer productivity.
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GitHub Repository Analyzer MenyaCode helps users understand large GitHub repositories faster by generating file trees, traversal paths, and AI-powered file explanations. Highlights
Tech Stack |
Remittance Cost Comparator SendSmart helps users compare the real cost of sending money internationally by considering fees, exchange rates, payout methods, speed, and final recipient amount. Highlights
Tech Stack |
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Morgan Stanley Code to Give LemonTree is a volunteer outreach platform built during Morgan Stanley Code to Give to help nonprofit organizers manage events, volunteers, attendance, and QR-code flyers. Highlights
Tech Stack |
Point72 Cubist Hackathon Chess Forge is an AI-powered chess platform that lets users create custom chess opponents from natural-language prompts. Highlights
Tech Stack |
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Semantic Search Chrome Extension IdeaFinder helps users search long documents by meaning instead of exact words, making it easier to find ideas across articles, PDFs, research papers, and class readings. Highlights
Tech Stack |
Bioinformatics Software Clinical research software workflows supporting structured patient data collection, validation, and downstream computational analysis. Highlights
Tech Stack |
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Bachelor of Arts in Computational Biology Computer Science + Biology Minor: Statistics Expected Graduation: May 2028 Location: New York, New York Relevant Coursework: Computing in Python, Statistical Computing, Linear Algebra, Data Structures and Algorithms, Calculus III |