Engineering leader, Data & AI — I build and scale teams that put statistical, ML and deep-learning models into production, with the governance that high-stakes environments need.
- 🏗️ Leading Supply Chain Demand Forecasting engineering at Tesco — forecasting for 4,000+ stores
- 🛡️ Leading AI Development Lifecycle (AIDLC) ways of working and AI governance across Supply Chain Technology
- 🏦 Previously VP, Finance Reference Data & Pricing at JPMorgan Chase; Nomura, Lehman Brothers, SmartStream
- 🎓 M.Tech Data Science & Engineering (BITS Pilani) · Certificate in Quantitative Finance (CQF)
⭐ Featured: SDLC Central
A governed, agent-agnostic framework for AI-assisted software delivery — 61 skills and 30 composable pipelines covering the full SDLC, for every role on the team (product, architecture, dev, QA, DevOps/SRE, design).
Works with Claude Code, Cursor, GitHub Copilot, Windsurf, Cline, Aider, Gemini, Antigravity and Tabnine CLI.
npx sdlc-central install --role developer --agent claude-code| Project | What it is |
|---|---|
| VentureForge AI | Turns a business idea into an investor-ready plan — 6 specialised AI modules, guided idea-to-pitch workflow, financial projections, OAuth, keys kept server-side |
| Spotify automation agent | AI agent that automates Spotify workflows (Python) |
| diagraph | Generates diagrams from Mermaid code (TypeScript) |
| Project | What it is |
|---|---|
| Stock prediction with news + technicals | M.Tech thesis — NLP sentiment + LSTM for equity price prediction |
| Pricing IR derivatives with HJM | CQF research — Heath–Jarrow–Morton framework |
| IR meta search engine | Information retrieval & rank aggregation |
Focus areas: AI governance · MLOps · demand forecasting · NLP & information retrieval · data governance (BCBS 239, DCAM, FIBO) · Python
🌐 manojkvel.github.io · 💼 LinkedIn