Frontend Engineer with 8+ years of experience delivering customer-facing products at Walmart and Cisco. Passionate about product strategy, AI-powered experiences, customer journey optimization, and cross-functional leadership.
Currently exploring
AI-powered customer experiences
North Star
Customer activation
Years building products
Featured product initiatives
Cross-functional partners
Fortune 50 companies
Eight years of engineering taught me how customer-facing products are really built. I bring that depth to product decisions — pairing technical credibility with discovery, strategy, and clear ownership.
Shipped production frontends for enterprise products. Learned the craft of clean UI and reliable, scalable code.
Led customer-facing experiences across membership, renewal, and personalization. Partnered deeply with product and design.
Driving AI-powered, customer-centric product work. Bridging engineering depth and PM rigor across cross-functional teams.
The best PMs are great translators — between customers, engineers, and business. Engineering taught me the second language fluently; product is teaching me the rest.
Deep technical roots, broad product instincts, and an AI-native lens.
Selected stories showing how I frame problems, navigate trade-offs, and ship outcomes customers feel.
Led cross-functional collaboration across Product, Engineering, Content, Payments, and Business to launch employer-sponsored memberships and streamline onboarding.
Simplified membership renewal by reducing customer friction and orchestrating multiple backend workflows into a seamless user experience.
Built an intelligent personalization experience leveraging customer behavior and order history to surface tailored membership perks.
Designed reusable platform capabilities allowing business teams to launch and manage promotions without engineering involvement.
Improved vehicle search accuracy by introducing license plate lookup and dynamic vehicle attributes.
The frameworks and habits I lean on to turn ambiguity into clear bets.
RICE, weighted scoring, and opportunity sizing — chosen for the decision, not for show.
Outcome-oriented roadmaps with explicit bets, assumptions, and exit criteria.
End-to-end journeys that surface invisible friction across teams and systems.
A single metric that captures value delivered, supported by clear input metrics.
Hypothesis-first A/B testing with guardrail metrics and pre-registered analysis plans.
Spotting where LLMs create genuine user value vs. where they just add latency and risk.
Community work where I get to practice exactly what product asks of me — coordination, ownership, and customer experience at scale.
Core Committee Member
Led cross-functional planning and execution for a large-scale national convention, overseeing publicity, website, stage design, sports, and cultural programs.
Food Committee Chair
Led food strategy, vendor coordination, and logistics for large-scale community events, delivering exceptional attendee experiences.
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8+ years building customer-facing products. Engineering depth, product instincts, AI-native.
Hiring a PM, exploring AI-native product opportunities, or just want to compare notes? I'd love to chat.