I don't just write PRDs — I build the product. From 5-agent N8N automation pipelines to investor-grade AI pitch decks, I sit at the intersection of product strategy, data analytics, and hands-on AI engineering. Certified in PM & Agentic AI from IIT Patna.
I'm a Product Manager with a rare edge: I can write the PRD and build the prototype in the same afternoon. My B.Tech in Electronics & Communication gave me a deep appreciation for systems thinking, while my IIT Patna PM + Agentic AI certification sharpened my product intuition.
What separates me from other PM candidates: I've actually built a production-ready 5-agent AI workflow, shipped a working AI recruitment tool on Lovable, and done 40+ user interviews that directly shaped product decisions — not as exercises, but as real work.
I'm fluent at the intersection of LLM-powered products, RAG pipelines, and GenAI UX design — translating bleeding-edge AI capabilities into real-world solutions. Currently pursuing an MBA in Product Management at Manipal University.
Production-ready N8N system where 5 specialized AI agents work sequentially — Ideation → Market Research → Prioritization → Roadmap → Executive Summary — triggered from a Google Sheet row and writing ~60 structured fields back automatically. Uses Gemini 2.0 Flash with LangChain, RAG, and conditional branching.
End-to-end AI product: problem framing, investor pitch deck, Figma wireframes, Lovable frontend prototype, and N8N agent backend delivering structured hire/hold/reject recommendations with fit scores.
Built from 40+ user interviews. Full PRD, user stories with acceptance criteria, A/B testing framework, AARRR metrics, and Figma wireframes. Reduced scope creep by 35% through pre-dev validation.
Advanced analysis of 10,000+ sales records using Excel and Power BI. Identified revenue trends, seasonality patterns, and a 15% revenue opportunity. Reduced reporting time by 40%.
Designed and deployed scalable AWS infrastructure using EC2, VPC, IAM, ELB, and Auto Scaling to support analytics workloads with 99.9% uptime SLA.
Linux-based monitoring system with automated shell scripts for logging, alerting, and log analysis. Improved operational efficiency by 20% with 24/7 automated coverage.