Open to opportunities

Punam User

@punamuser

I build production agentic AI platforms, RAG systems, and distributed software that improve measurable business outcomes.

United States

Message

What I'm looking for

I'm looking to build production AI platforms and agentic systems where rigorous evaluation, observability, security, and distributed systems engineering translate into measurable customer and business outcomes.

At Morgan Stanley, I build production agentic RAG platforms that cut analyst research time by 60%, reduce hallucinated citations by 35%, and improve response relevance by 28% through real-world feedback loops.

I design multi-agent services, MCP tool integrations, secure APIs, and AWS EKS deployments for financial workflows. My observability work cut LLM inference failure detection by 50%, while standardized integrations reduced new agent setup from days to under two hours.

Previously, I delivered HIPAA-compliant clinical trial software across 15+ study sites at Apexon and built AI chatbots, policy services, event-driven integrations, and search systems for insurance and ecommerce organizations including LV.com.

Outside work, I build autonomous multi-agent engineering workflows, investor intelligence agents, LLM evaluation frameworks, and grounded clinical RAG systems. I bring 10 years of experience across AI platforms, full-stack engineering, distributed systems, healthcare, FinTech, insurance, and ecommerce.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer, GenAI and Agentic AI Platform

Current

Morgan Stanley

Jan 2025 - Present (1 year 8 months)

Architected and developed a production Python backend for an agentic RAG platform using LangChain, LangGraph, Weaviate, Claude, and GPT class models. Implemented multi-hop retrieval, self-critique, and tool-using agents, cutting analyst research time 60% and hallucinated citations 35%.