AI-native Product Manager

I'm a Product Manager building AI-native products 0 → 1 / LLMs / enterprise platforms

I build the platform layer for agentic AI at enterprise scale, turning 0→1 ideas into products people actually use.

Let's build together LinkedIn
anirudh-agent v2.0 — runtime
[system] initializing agent...
[agent] loading context: agentic AI + product + platforms
[agent] current_role = "PM, DevX Agentic AI"
[agent] focus = "enterprise agentic AI skills marketplace"
[agent] mode = "0 → 1 builder"
[system] status: shipping

The future is agentic.

I believe the best AI products won't just answer questions. They'll reason through tasks and take action on their own. I bring deep platform and product expertise to hands-on AI engineering to build at that frontier.

LLM Systems Prompt Engineering Tool Use RAG Systems Context Engineering Agent Governance
Experience

Where I've shipped

From enterprise data platforms to modern AI systems, always shipping at scale.

Capital One Feb 2026 — Present
Product Manager · DevX, Agentic AI
  • Built and launched a 0→1 enterprise agentic AI skills marketplace, reaching 21k users across 8 lines of business as sole PM
  • Consolidated 35+ competing discovery portals and a 98K+ skill ecosystem into a single enterprise catalog, eliminating duplicated tooling and fragmented discovery
  • Created enterprise, community, and experimental skill tiers, reducing a 98K+ skill ecosystem to ~500 vetted skills trusted for enterprise use
  • Designed contextual agentic discovery experiences to surface relevant skills at the point of work, increasing reuse and reducing duplicate development
  • Defined enterprise agentic AI governance standards, securing approval across Legal, Cyber, Risk, and senior leadership for safe skill publication
  • Piloted Claude Cowork workflows with Legal and Finance, extending agentic tooling beyond engineering into regulated business functions
Agentic AI Claude MCP Governance 0→1
Capital One Dec 2024 — Feb 2026
Product Manager · Core Card Platform
  • Owned a GraphQL-based data platform centralizing card account, transaction, and customer data for risk, fraud, servicing, and analytics teams
  • Led migration off legacy systems to in-house pipelines, cutting data retrieval time 65%+ and lifting reliability SLAs
  • Built KPI dashboards tracking latency, API adoption, and failure rates — drove a 30% performance gain
  • Introduced LLM-assisted reconciliation and validation during platform migration, achieving 99% accuracy in the new platform
GraphQL AI/ML Data Platform LLMs
Morgan Stanley Jul 2021 — Dec 2024
Product Manager · Equity Structured Products
  • Led modernization of front-office pricing and booking workflows, replacing manual processes with scalable product tooling informed by trader workflow analysis
  • Shaped roadmap and delivered 3 major releases through continuous discovery with trading, pricing, booking, and risk users
  • Coordinated global launches across Engineering, Trading, Legal, and Compliance while navigating US, EMEA, and APAC regulatory requirements
Trading Systems Risk Global Launch
Deutsche Bank Jul 2018 — Jul 2021
Software Engineer · Equity Derivatives Technology
  • Designed and developed scalable equity derivatives platforms, modernizing legacy trade and position workflows into a web-based data platform
Equity Derivatives Python Web Platform
Capabilities

My agent toolkit

The tools and frameworks behind the products I ship.

AI & LLMs

Agent Design Context Engineering MCP Tool Integrations LLM Evaluation Prompt Engineering Agent Governance & Safety NLP

Product

Platform PM Developer Experience 0→1 Product Development Product Strategy Roadmapping Discovery PRDs OKRs / KPIs Adoption & Change Management

Technical

Python SQL GraphQL REST APIs Distributed Systems Java TypeScript Hadoop Elasticsearch

Tools

Claude Claude Code/Cowork OpenAI API Jira Confluence Figma Tableau Mixpanel New Relic Git Docker
Builds

What I'm shipping

Side projects and internal tools I build to explore what's possible with AI.

01
BUILDING

Stealth Project

Building a consumer AI product from 0→1. Full-stack solo build — product strategy, design system, engineering, and go-to-market. More details coming soon.

React Native TypeScript Supabase AI/ML
// stealth.config
type: "consumer AI"
stage: "building"
role: "solo founder"
stack: "full"
02
SHIPPED

Financial Doc Analyzer

LLM-powered tool to parse and summarize 10-Ks and earnings transcripts. Prompt chaining with eval frameworks for factual accuracy.

Claude API Python NLP
03
EXPLORING

Agentic Workflow Lab

Personal experiments with multi-agent orchestration, tool use patterns, and retrieval-augmented generation for financial data analysis.

Claude LangGraph Python RAG
Training Data

Where I learned

Two masters, three disciplines. Engineering the intersection of CS, AI, and business.

Kelley School of Management, Indiana University

MBA — Strategy & Leadership
2024 — 2026

Georgia Institute of Technology

M.S. Computer Science — Machine Learning & AI
2021 — 2023

Rutgers University

B.S. Computer Science & Economics
2014 — 2018