AI PRODUCT MANAGER
Enterprise AI Strategy. Disciplined execution. Measurable impact.
I bridge AI strategy and execution—defining which AI opportunities matter most, then building enterprise platforms that deliver competitive advantage. 15+ years turning complex problems into products that drive measurable business outcomes.
40%
AI-Driven Productivity Gain
15M
Increase in Partner Bookings
37%
SaaS ARR Growth
Work Highlights
AI Projects
Agentic Systems
Customer Support
Multi-Agent system for Customer Support
Routine support tickets eat up time that should go to complex issues. This multi-agent system automates the predictable, routes edge cases to humans, and uses confidence checks to maintain quality at scale.
Tech Stack:
n8n
Claude Sonnet 4
GPT-4 RAG
Multi-Agent
Human-in-the-Loop
LLM Application
Voice of Customer
AI Customer Feedback Analyzer
Customer feedback is scattered across surveys, tickets, and reviews. This tool pulls it all together, categorizes issues, detects sentiment, and surfaces what matters most so PMs know exactly where to focus without the manual grind.
Tech Stack:
Python
Claude API
Streamlit
Claude Code
Regression Model
Predictive Analytics
Customer Lifetime Value Prediction
Not all customers generate equal value. This regression model predicts customer revenue, enabling strategic budget allocation and identifying high-value customers for targeted retention and growth strategies.
Tech Stack:
Plexe.ai
Python
XGBoost
Pandas
Agentic Systems
Market Intelligence
Competitor Intel Agent
Competitor tracking is slow and stale before it's useful. This agent reads company names from a Google Sheet, researches each one, processes findings through two LLM stages (research → analysis), and emails you a formatted executive report.
Tech Stack:
n8n
Google Sheets
Brave Search
Claude API
LLM Chaining
Gmail
Traditional ML
Customer Retention
Customer Churn Prediction
Churn is expensive and hard to see coming. This ML model spots at-risk customers before they cancel and surfaces what's driving them away, so retention teams can act before it's too late.
Tech Stack:
Python
scikit-learn
Logistic Regression
Claude AI
Claude Code
Live
Movie App
Started with an existing movie discovery app and built a custom watchlist feature using Claude Code. Features persistent storage across sessions and is deployed live on Vercel.
Tech Stack:
Claude Code
Vercel
RAG
Knowledge Assistant
GolfRules AI Chatbot
Golf rules are notoriously complex and getting them wrong costs strokes. This chatbot gives clear answers grounded in rules, not AI hallucinations. Uses RAG to retrieve actual rule text before responding, so every answer cites its source.
Tech Stack:
n8n workflow
RAG
Claude AI
Postgres Memory
Supabase vector DB
Javascript
Multi-Modal
Learning Tools
Agentic Audio Summary Generator
Not everyone has time to read. This tool turns any topic into a listenable audio brief; researched, summarized, and narrated. Every summary runs through an eval check before delivery to catch low-quality outputs before they reach the user.
Tech Stack:
n8n workflow
OpenAI Agent
Perplexity
n8n Eval
OpenAI TTS
LLM Application
Career Tools
AI Resume-Job Matcher
Applying blind wastes time and energy. This app scores your resume against any job description, highlights exactly where you fall short, and gives you an honest assessment: apply now, fix your gaps first, or move on to a better fit.
Tech Stack:
React
Claude API
Tailwind CSS
Claude Code
Computer Vision
Image Analysis
Receipt Image Classifier
Sorting receipts manually is tedious and error-prone. This computer vision model auto-categorizes receipts by type, demonstrating architecture trade-offs and systematic debugging when models underperform.
Tech Stack:
Python
TensorFlow/Keras
MobileNetV2
Computer Vision
Transfer Learning
AI-Agent Powered
Content Creation
AI LinkedIn Post Creator
Writing LinkedIn posts is tedious. This tool drafts posts tailored to your audience, whether you're speaking to engineers, marketers, or founders. Input a topic, pick your audience, get a post ready to tweak and publish.
Tech Stack:
n8n workflow
Open AI
Perplexity research
Open AI for Eval
Career Timeline
2024 - Present
Omnissa
Senior AI Product Manager
2021 - 2024
VMware
Senior Product Manager
2015 - 2021
MetLife
Senior PM - Mobile Apps & Digital Sales
2013 - 2015
KPMG
Product Manager
2012 - 2013
Google (Apigee)
Customer Success Manager
2007 - 2012
Wells Fargo
Web Application Developer
← Scroll to explore timeline →
About
I build AI products that solve real problems. I focus on figuring out what to build, why it matters, and driving adoption so teams actually use it. With over 10 years leading product strategy across fintech, insurance, and enterprise SaaS, I've built AI-driven products, revenue platforms, and workflow automation that actually move business metrics. Having worked in domains where poor decisions carry real cost, I've learned to balance technical possibility with business outcomes.
My developer background lets me prototype AI solutions myself, moving fast from idea to working product while thinking in systems and tradeoffs. I build AI-driven products on the side to experiment hands-on with emerging tech, validating what actually works before applying those learnings to enterprise strategy.
I start with the problem, looking for business challenges that represent defensible ROI opportunities for AI investment. I believe in establishing decision frameworks before scaling, building with production in mind from day one, and designing fallback strategies for when things fail. What I care about: business metrics over technical metrics, unit economics over feature count, and sustained impact over launch hype.
Certifications
Generative AI Leader
Google Cloud
2025
Managing AI Projects: From Strategy to Delivery
Johns Hopkins University
2025
Designing Agentic AI Products
2025
Driving Business Impact for PMs
Maven
2024
AI for Product Management
Pendo.io
2023
Certificate in Leadership Principles
Harvard Business School
2023
Technical Product Management
2023
Creating a Product-Centric Organization
2021
Let's Connect
Pursuing AI Product Manager roles where I can own AI product direction in high-stakes enterprise environments. Open to conversations about AI strategy, product execution, and building AI-powered products that drive real outcomes. Remote, Hybrid, or On-site.