Headline

AI Product Manager - LLM Platforms & Agentic Systems Technical Depth + Product Ownership

About

I build agentic AI systems — and I own the products they power. For the past 2 years, I've led an AI platform end-to-end for a US medicolegal client: autonomous multi-agent pipelines that generate Life Care Plan reports from 1,500+ page medical records, with self-validation loops and a 153-point evaluation framework built for a domain where errors are expensive. I run the weekly client roadmap calls, define and prioritize features, and make the product calls — not just the engineering ones. What makes my approach different: I don't manage AI from a distance. I'm hands-on with prompts, evals, and agent design, which means faster, sharper product decisions without translation loss between business and engineering. Beyond work, I've shipped 2 independent AI products: → CLSkills.in — an AI skills marketplace with 1,200+ active users, featured on Product Hunt → CloudPilot — a live multi-cloud cost optimization SaaS that demonstrated 70% cost reduction on real AWS infrastructure I also create AI content for 3,000+ YouTube subscribers and 1,000+ LinkedIn followers, breaking down LLM and agentic AI concepts for technical and non-technical audiences alike. I'm focused on AI Product Manager and Technical PM roles at teams where AI is the core of the roadmap, not a bolt-on — and where building and product judgment are the same job. Open to connecting with founders, product leaders, and anyone building in agentic AI. 📩 bhamaresamarth@gmail.com

Location

Pune District

AI stack

antigravity

claude

langchain

openai

Work experience

AI Product Manager at DataKernels Analytics & Consulting LLP, Jan 2025 - Present · 1 yr 7 mos, - Owned end-to-end product lifecycle for an agentic AI platform serving a US medicolegal enterprise client. - Led weekly roadmap calls, defined feature requirements, managed prioritization, and drove delivery of 400+ monthly workflows with 95% output accuracy. - Reduced report turnaround from 3–4 days to under 3 hours by proposing a parallel multi-agent architecture. - Designed and shipped a 153-point LLM quality evaluation framework, enabling systematic production monitoring. - Architected distributed ETL pipelines and automated 100+ workflows on AWS, consolidating data sources into a unified reporting layer.

Business Analyst - Data Engineering & BI at DataKernels Analytics & Consulting LLP, Apr 2024 - Jan 2025 · 10 mos, Remote, Built end-to-end data pipelines and BI dashboards for US healthcare clients. Business Intelligence Platform Power BI | Snowflake | AWS S3 | SQL | Zoho CRM - Full BI stack, zero to production: Designed end-to-end data pipeline (AWS S3 -> Snowflake -> Zoho CRM) and built Power BI (DAX) dashboards tracking physician volumes, referral performance, and case outcomes. - SQL-driven KPI reporting: Authored complex Snowflake SQL queries consolidating 3 data sources into a single optimised reporting pipeline, eliminating manual reporting. - ETL Architecture: Engineered n8n pipelines on AWS EC2 for data ingestion and transformation, reducing manual prep time by 65%. - Led a team of 4 analysts/engineers, managing sprint planning, code reviews, and production deployments.

Education

Master's Degree, Data Science, Deakin University

Bachelor of Engineering - BE, Computer Science, Savitribai Phule Pune University