Vasu Mangla — AI Product Manager. Don't read the resume, interview it.
My AI is online and answering now

Don't read my resume.
Interview it.

I'm Vasu Mangla — an AI-focused Product Manager and Certified Agile Leader with 20+ years bridging business and engineering: Wells Fargo, UnitedHealth Group, Guggenheim Partners, and federal agencies. Most recently, I took an applied-AI product from zero to 500+ clients. My AI assistant answers your screening questions from my real track record — right now, no scheduling required.

Book a call with the human

Built, deployed, and run by me — this assistant is itself an AI product I shipped.

📍 Colorado Springs, CO 🇺🇸 Authorized for any U.S. employer — no sponsorship 💻 Remote-ready, anywhere in the U.S. 🎓 MS Computer Science
Things recruiters ask it — click one to try
Track record

Two decades of enterprise delivery.
Now applied to AI products.

Eleven years hands-on .NET/SQL engineering and architecture. Then Product Owner roles at Fortune 500 and federal scale — including an Azure migration of 100+ databases and 100+ applications across ~20 teams at Wells Fargo. Now: applied-AI product leadership, building and shipping RAG pipelines, MCP-based agents, and agentic automation hands-on.

0 → 500+

Clients on a shipped AI product

Took an applied-AI platform from discovery to go-to-market — model training, RAG pipelines, MCP agents, dashboards — reaching 500+ clients across sectors.

20 teams

Enterprise delivery at scale

As Technical Product Owner at Wells Fargo, coordinated ~20 engineering and partner teams through an enterprise Azure cloud migration — build, cutover, and release.

<30 → 90%

Measurable AI outcomes

An automated CRM audit agent lifted data quality from under 30% to 90% — and kept it there. An HR agent cut support requests 30%. Evidence over promises.

Wells Fargo  ·  UnitedHealth Group  ·  Guggenheim Partners  ·  Patterson Companies  ·  NIAID  ·  U.S. Bureau of Labor Statistics  ·  Adjunct Faculty, Colorado Technical University
Why an AI, not a PDF?

Because the page is the portfolio.

Anyone can claim "AI product experience" on a resume. This assistant — the RAG pipeline behind it, the lead capture, the guardrails, the deployment — is a working AI product I designed, built, and run in production. Interviewing it is reviewing my work.

Under the hood

Node.js + PostgreSQL/pgvector retrieval over my actual career history, Claude with tool use, multi-tenant by design, rate-limited and cost-capped, deployed in Docker on infrastructure I run. It won't speculate — anything it can't answer, it routes to me with your contact details.

If it impresses you, that was the résumé.

Hiring for an AI PM role?

Ask my AI your screening questions now, or skip straight to a conversation with me. Either way, you'll have your answers today.