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.

See AI Projects
Lavanya Chary - AI Product Manager
40% AI-Driven Productivity Gain
15M Increase in Partner Bookings
37% SaaS ARR Growth

AI Projects

Responsible AI Human-in-the-Loop

SafeRx - AI Medication Interaction Review

SafeRx screens prescriptions for drug interactions using Claude Sonnet, auto-approving safe ones and routing risky ones to pharmacists - saving an estimated 1+ hour/day of review time. Every AI recommendation is transparent and overridable, with confidence scores, reasoning, and full audit logging. An interactive threshold simulator shows the safety vs. efficiency tradeoff across 300 historical records.

Tech Stack:
Python FastAPI Claude Sonnet 4 React TypeScript SQLite
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RAG Pipeline LLM Evaluation

NorthStar Labs - AskHR Policy Assistant

Employees waste hours searching through policy documents for answers. This RAG system retrieves relevant HR policies using hybrid search (semantic + keyword), generates cited answers with Claude, and evaluates every response for faithfulness and completeness using Arize Phoenix. Traces and eval scores flow to Phoenix Cloud for production observability.

Tech Stack:
Python FastAPI Claude Sonnet 4.5 Voyage AI Supabase pgvector Arize Phoenix React
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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
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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
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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
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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
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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 pandas scikit-learn Logistic Regression Gradio Hugging Face Spaces Claude AI
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Claude Code Live

Built with Claude Code - Movie Watchlist Feature

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
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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
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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
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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
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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
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Work Highlights

Sales and AI transformation platform
AI INNOVATION

Sales & AI Transformation

Built Lead-to-Quote platform in 5 months, then scaled with operations and AI automation to transform sales productivity.

$177M pipeline 40% productivity
VMware SaaS platform transformation
SaaS ARR Growth

GTM SaaS Transformation

Redesigned Lead-to-Quote workflows to accelerate SaaS conversions, renewals, and expansion.

37% ⤊ revenue Time-to-quote ⤋ 41%
MetLife global sales platform
DIGITAL TRANSFORMATION

Global Sales Platform

Defined platform strategy for offline-first sales tools, helping field agents manage leads and close deals on the go.

Sales ↑ 41% 50% faster rollout
MetLife consumer mobile apps interface
MOBILE INNOVATION

Consumer Mobile Apps

Led mobile app portfolio across 7 regions, simplifying policy, claims, and payment management.

Claim completion +35% Support calls ↓58%

Career Timeline

2024 - 2025

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

AI Product Management

NextGen Product Manager

2026

Generative AI Leader

Google Cloud

2025

Managing AI Projects: From Strategy to Delivery

Johns Hopkins University

2025

Designing Agentic AI Products

LinkedIn

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

LinkedIn

2023

Creating a Product-Centric Organization

LinkedIn

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.

Resume
New Jersey, USA