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jehdadina@gmail.com Mumbai, IN
  • FinTech builder
  • ML engineer
  • Frontend engineer
  • Founder, FTC KJSSE

Jeh Dadina

I build software where finance, data & AI meet.

Full-stack, ML, systems, whatever the problem needs. I build financial software, ML systems, and data-heavy products where engineering meets real-world problems. Based in Mumbai.

That was Saki, my Kawasaki Ninja 300.

I train models on market data: terminals that flag anomalies before the tape does, fund engines that score NAV history like sentiment, and credit ML that reads a bank statement better than a banker. Off the keyboard it's Saki and one more side project.

Where I've been building.

Founding a fintech club, sitting in a founders' office, and learning the industrial side of cyber security.

Founder / FinTech Head

Jan 2025 - Now
  • Organized FinovateX 2026: a 7-hour dual event of AlgoTrading and Fraud Detection
  • Authored fintech & finance research papers and book chapters
Rayze Technologies Present

Intern, Founders Office

Mar 2025 - Now
  • Supporting founders on Stackbase
  • Contributing to product roadmap for mid-tier financial institutions
TÜV Rheinland India Completed

Intern, Industrial Services & Cyber Security

Aug - Dec 2024
  • Conducted market analysis & competitive research
  • Provided insights supporting strategic decisions
0.00SGPA
KJ Somaiya School of Engineering
B.Tech COMPS · Sem V
0.0%
CP Goenka International
Science · CISCE
0.00%
Arya Gurukul Jr College
Computer Science · HSC

The toolkit.

From pixel to model. What I reach for when an idea needs to become a working system.

Frontend

Frontend

Backend & AI

Backend & AI

Data & Design

Data & Design

Things I've shipped.

Mostly money, mostly machine learning. Built end to end, usually at 2 a.m.

  1. 01. Anomaly Terminal Market ML · Open Source Bloomberg-inspired stock analysis platform that pairs technical analysis with ML to flag unusual market behaviour and issue Buy, Hold and Sell calls.
  2. 02. Viewpoint Quant Finance · Python Sentiment-driven Black-Litterman portfolio optimizer: a multi-model NLP ensemble feeds market views into a walk-forward backtest, in a Bloomberg-terminal-style dashboard.
  3. 03. Alpha Quant Dashboard · FastAPI Terminal-style dashboard for NSE stocks: a cointegrated pairs scanner, realized-vol term structure, and a factor exposure grid.
  4. 04. MFScope Fund Intelligence · Python India mutual-fund engine: daily AMFI NAV data, 30+ risk and sentiment features, scored Strong Buy → Strong Sell via FastAPI + React.
  5. 05. SwipeRight Credit ML · Next.js Parses bank statements, ML-categorises spend across 13 categories, and picks the one best card from 140+ Indian cards.
  6. 06. GitControl Developer Tools · Electron A premium Windows desktop app for driving Git and GitHub visually, so everyday workflows need zero manual shell commands.
  7. 07. FinTrace Latency Telemetry · Node.js Live network-latency globe for NSE, NYSE, Binance and AWS regions, streamed over SSE with a terminal readout.
  8. 08. PayRozgar Offline PWA · Vanilla JS Offline-first payroll and attendance for small shops, with service-worker caching and auto-generated payslips.

Let's build
something great.

Open to internships, collaborations, and interesting projects at the intersection of fintech and AI. Press a key.

IST --:--:-- Mumbai 19.06°N 72.83°E Status · open to internships