About
Where the math and the engineering have to agree.
SVIT, Vasad — GTU · B.E. Computer Engineering · SPI 8.28 · Graduating Aug 2028
Deep is a Computer Engineering student at SVIT under GTU (SPI 8.28, graduating August 2028). He recently completed a quantitative trading internship at ZeTheta Algorithms, where he built options pricing tooling, volatility surface construction, and the numerical plumbing beneath them.
Outside that, he splits his time between applied ML — stock volatility forecasting, F1 driver-style performance modelling — and full-stack systems, including CampusTrack, the placement platform he built for his institute. He likes problems where the math and the engineering have to agree.
Education
- Institute
- SVIT, Vasad — GTU
- Programme
- B.E. in Computer Engineering
- SPI
- 8.28
- Graduating
- Aug 2028
Stack
Quant / ML
- Python, NumPy, pandas
- PyTorch, scikit-learn
- Black-Scholes, Greeks, IV
- Power BI, Tableau
Full-Stack
- TypeScript, React
- Node.js, Postgres
- REST + auth flows
- Tailwind, design systems
Systems
- Linux, self-hosting
- Bash, cron, systemd
- Docker, Nginx
- Git, CI pipelines
Data
- SQL, data cleaning
- ETL pipelines
- Statistical analysis
- Data visualization