Raman Shrivastava

Fractional Head of AI — Paris

I build AI agent systems that work in production — not demos, not proofs of concept, but systems that handle real users and real money without someone watching them. Based in Paris, working globally. I embed in engineering teams as a fractional Head of AI, shipping code and making architecture decisions alongside your engineers.

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years building AI

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startups co-founded

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events monthly

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Data Scientist

What I do

Agent engineering is building AI agents as products — the voice agent that handles your customer calls, the video agent that processes KYC, the RAG system that serves your search. I design these across LangGraph, OpenAI Agents SDK, and Claude Agent SDK, choosing based on what the problem actually needs. The hard parts are never the model. They're context engineering, state management, observability, and graceful degradation — the 80% of the work that doesn't make it into demo videos.

Agentic engineering is the other side: helping your team ship better software faster using AI-native development setups. CLAUDE.md constitutions, custom skills, spec-driven development, parallel agents across git worktrees, sandboxed execution. I've built and open-sourced these setups. Autonomous coding agents are still early, but the results are promising enough that I think this becomes standard within a year.

What I've built

INFINIT

Lightspeed-backed neo-bank — AI Lead (2024–2025)

Built the entire AI platform from zero on Azure AI Foundry — voice agents handling 1,000+ monthly customer interactions, a LangGraph video agent on Tavus that cut KYC from hours to minutes, RAG-based car search on pgvector with sub-second responses.

CustomerGlu

Techstars '21 — Co-founder & Head of Data & AI

GenAI pipeline cut campaign creation from two weeks to ten minutes. 1B+ events processed monthly, powering 100+ monthly campaigns that drove $20M+ in annual transactions across 30 clients. Scaled from 3 to 25+ engineers. In the process of being acquired.

Marax AI

Co-founder & Head of AI — backed by Google's former head of search

Fine-tuning GPT-2 and deploying Deep Q-Networks before ChatGPT existed. 3x retention lift via A/B tests, 5M+ daily predictions, 84% churn-prediction accuracy driving 39% churn reduction.

Seed fund

Investment Manager — 15+ AI startups advised, $12M+ raised

Technical advisor at a seed fund and innovation university in Bengaluru. 60% portfolio survival rate. I've seen AI products from every angle — building, funding, scaling, and fixing.

I write about the hard parts of building AI systems. You can also ask my AI anything about my work.

If you're building something with AI and want to talk — raman.shrivastava.7@gmail.com