Computer Science & Data Science at Rutgers University. I build software that turns messy public data into things non-technical people can actually use.
Currently looking for Software Engineer roles — especially in civic tech, the public sector, and applied data products.
A self-service civic-tech tool that estimates how an unemployment shock would ripple into Medicaid and SNAP enrollment across all 62 New York State counties — in 30 seconds, without pulling six datasets by hand.
The headline isn't the regression. The headline is getting the data into one place: six fragmented NYS public datasets joined into a single queryable panel of ~67,000 county-month observations (2018–2025), including a custom PDF-extraction pipeline for county-level Medicaid enrollment — which doesn't exist in structured form anywhere.
🔗 Live demo → nys-public-demand-simulator.vercel.app 📂 Source → github.com/vigneshdinesha/nys-public-demand-simulator
Python · FastAPI · PostgreSQL (Neon) · Next.js · TypeScript · Tailwind · statsmodels · Recharts
- Generative-AI application frameworks for end-to-end app development
- A biohacking toolkit — data-driven methods to optimize human performance and well-being
Languages: Python · TypeScript · JavaScript · SQL Backend: FastAPI · PostgreSQL · SQLAlchemy · pandas · NumPy · statsmodels Frontend: Next.js · React · Tailwind · Recharts Infra: Vercel · Render · Neon · GitHub Actions
- 📧 vigneshdinesha@gmail.com
- 💼 LinkedIn — in/vignesh-dinesha
- 📍 Monroe Township, NJ · he/him