MSHN
A retrieval-augmented market-anomaly explainer that grounds its answers in SEC filings indexed before a price event.
Aarav Tiwari
I’m Aarav Tiwari, a Computer Science and Statistics & Analytics student at UNC–Chapel Hill. I build full-stack applications and AI systems, with a focus on turning complex ideas into useful, intuitive tools.
01 / Selected work
A retrieval-augmented market-anomaly explainer that grounds its answers in SEC filings indexed before a price event.
A full-stack application combining pharmacokinetic modeling, daily scoring and longitudinal performance trends.
A multilingual form-assistance system using coordinated AI agents and a browser extension. SolHacks 2026 winner.
02 / Experience
Jun 2026 — Aug 2026
Durham, NC
Fidelity Investments
Built and modernized an internal digital signage platform, from reusable frontend components to persistent layouts and deployment on AWS.
03 / About & technical profile
I’m Aarav Tiwari, a Computer Science and Statistics & Analytics student at UNC–Chapel Hill. I build full-stack applications and AI systems, with a focus on turning complex ideas into useful, intuitive tools.
Education
B.S. in Computer Science & Statistics and Analytics
Expected May 2028
PostgreSQL · pgvector · Docker · AWS · Supabase · Redis · Prisma
React · Next.js · FastAPI · Claude API · Gemini API · TensorFlow · Scikit-learn · tRPC · IBM watsonx
TypeScript · Python · Java · SQL · Go · C