AI Product Manager
I build AI products that work in the real world—navigating compliance, risk, and technical complexity to ship solutions that practitioners actually use and businesses can trust.
Ex-Deloitte AI Center of Excellence — led $2M+ AI product portfolio, 5+ cross-functional teams, shipped MVPs through legal and risk compliance.
Building bridges between AI innovation and enterprise reality
I’m an AI Product Manager & Strategist who helps enterprises turn emerging AI capabilities into scalable, trusted solutions. My focus: building products that balance innovation, compliance, and measurable business value.
At Deloitte’s AI Center of Excellence, I led $2M+ in AI product initiatives—bringing together cross-functional teams of data scientists, engineers, designers, and risk leaders to ship AI applications that work in regulated, high-stakes environments.
I specialize in the space where product strategy meets AI governance. Whether evaluating GenAI architectures, defining model guardrails, or building adoption roadmaps, I ensure every use case moves efficiently from idea → pilot → production.
From use case ideation to MVP delivery—I prioritize opportunities, build roadmaps, lead cross-functional teams, and ship products that users actually adopt. I balance innovation ambition with practical constraints to deliver business value.
I bring classic product discipline to AI — defining the problem, user journey, and success metrics before a line of code is written. I map dependencies between data, models, and workflows to build systems that are scalable, measurable, and grounded in user value.
I bridge business, data, and engineering—aligning executives, designers, and technical teams to drive outcomes that scale.
AI products for enterprises need more than good models—they need governance, security, and compliance. I build guardrail strategies, evaluate deployment configurations, and navigate compliance and legal reviews to ship AI solutions organizations can trust.
AI products I've helped build, from concept to launch
A lightweight standardization engine that identifies duplicate and look-alike company names across vendor or customer lists. It groups similar entities, selects a single clean display name, and outputs a transparent mapping file to support cleaner reporting, spend analysis, and MDM workflows.
An AI system that extracts margin terms from complex financial documents using a self-correcting agent that autonomously diagnoses and fixes its own extraction errors.
An AI-driven capability that detects early indicators of corporate divestiture activity enabling deal teams to anticipate opportunities earlier, focus on higher-probability targets, and make faster, more confident investment decisions.
A GenAI-powered assistant that helped junior professionals ramp up on ERP implementations by drawing from proprietary and vendor documentation through RAG.
Built an MVP that helped investigators gather and summarize entity data from multiple sources into compliant, well-formatted reports. The prototype validated with 10 pilot users and secured buy-in for Phase 2 funding.
A blend of product management excellence and AI/ML technical knowledge
Interested in collaborating or discussing AI product opportunities? I'd love to hear from you!