AI PRODUCT ENGINEER & OPEN SOURCE AUTHOR

Rishabh Bhartiya.

I build and ship AI-powered products end to end — from system design to deployed inference.

Open to new opportunities

Profile

Skills, education & summary

M.S. Computer Science, University of Milan. Background in AI systems, production ML pipelines, and full-stack deployment. Focused on building AI-powered products end to end — from system design to client delivery

AI Products & Delivery

Product to Production

From idea to shipped — client delivery, open source, and AI systems.

99.4% success rate on TTA — zero downtime.

Experience

03years

Previously ML Engineer at Edza.ai, now building independently at NatrajX.

Featured Project

Text-to-Animation Engine (TTA)

Generative AI

A production-grade multi-agent system that transforms raw academic topics into fully narrated, animated educational videos with a 99.4% success rate — deployed at Edza.ai.

Blog

Neuro-Symbolic AI: How to Build Reliable LLM Pipelines That Don't Hallucinate

LLM & NLP

Pure LLM generation fails ~60% of the time for structured outputs. Learn how neuro-symbolic architecture combines AI reasoning with deterministic templates to achieve 99%+ production reliability.

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