Location: India

Remote: Yes (preferred)

Willing to relocate: No

Technologies: GenAI: LangGraph, AutoGen, Google ADK, RAG systems Backend/Data: Python, FastAPI, PostgreSQL, DuckDB Cloud: Azure, Databricks, Docker, Kubernetes

Résumé: https://manish-m.com/resume.pdf

Email: workdesk <dot> manish [at] gmail <dot> com

I build and ship production GenAI systems in pharma (R&D + TechOps), leading a team of 4. My work spans data pipelines, backend systems, and cloud infrastructure to deliver production-ready AI applications.

Recent work:

Report generation framework (unstructured + structured data → compliant reports) Processes PDFs, documents, and structured datasets to generate consistent, audit-ready reports GxP-compliant intelligent QMS collaborator (~40% faster QA workflows)

Most of my work is in regulated environments, so I focus on traceability, observability, and building reliable AI systems.

Looking for- Roles: AI Engineer / ML Engineer / Data Scientist Commitment: Full-time / Part-time (freelance, IC)