- CS @ UMD (’25) • Ex-Snowflake IT Finance
- I build data-driven, production-ready software across backend, cloud, and AI.
- Off the keyboard: I lead climbs and communities 🧗♂️
- 87% faster regression testing with a custom JUnit framework
- Finance batch runtime 4h → 15m via profiling + algorithmic refactors
- 45% faster engineer debugging with a Streamlit + Snowpark UI
Agentic note-sharing for students: semantic search, embeddings, vector DB, tool-use agents, and a clean UX.
Goal: the easiest way to find & share the right note at the right moment.
Languages: Python, Java, Kotlin, TypeScript/JS, SQL
Backend: Node.js/Express, Spring basics, REST, Webhooks
Data/AI: Pandas, Streamlit, Snowpark, RAG, vector search, embeddings
Cloud/DevOps: AWS (S3, Lambda), CI/CD, Docker, GitHub Actions
Mobile: Android (Kotlin + Firebase)
- Write tests first, ship with CI/CD, instrument with logs/metrics
- Prefer clear APIs, docs as code, and performance budgets
- Bias for small, iterative releases with measurable outcomes
- Terp Notes – Agentic note sharing with semantic search & RAG
- EDMS – Secure document management (Node.js, MongoDB, AWS S3)
- TimeCard – CLI time logging + analytics (Python/Matplotlib)
- Recipe App – Android + Firebase recipe manager
- To-Do List – JS/EJS app with external API integrations
- DM me on LinkedIn
- Follow me on X (formerly Twitter)
- Email me at [email protected]
- Or open an issue on any repo—happy to collaborate on student tools, data apps, or agentic AI.