Résumé
Technology leadership across building, scaling, and transformation.
More than 20 years leading product and engineering organizations, modernizing platforms, and connecting technology strategy to customer and business results.
At a glance
Leadership with technical depth and business accountability.
20+ yearsstartups through Fortune 500 companies
100+ peopleglobal organization leadership
$300M+recurring-revenue business supported
Product + technologyoperations, go-to-market, and profit-and-loss scope
Selected leadership record
A faster view of the experience behind the résumé.
Three chapters show the range: transforming an established enterprise platform, building a company-wide organization, and developing firsthand evidence about AI-enabled engineering.
PrePass · 2023–2025
Enterprise transformation
Led a 50+ person organization and $4.3M budget while modernizing platforms supporting a $300M+ recurring-revenue business. Reorganized technical silos into product value streams, helping comparable roadmap initiatives reach production about 20% sooner.
Uproad · 2018–2023
Building and scaling
Scaled Engineering, Product, and Support from zero to 50+, then directed a global organization of more than 100. Launched a nationwide tolling product with a 67 Net Promoter Score, delivered 99.99% uptime, and reduced Amazon Web Services costs by about 15%.
AI practice · 2026
Operating-model evidence
Directed a five-month independent, single-operator AI engineering environment focused on architecture, decision rights, verification, governance, and human attention. A 30-day study covered 4,419 prompts and 240 reviewed samples; it measured operating behavior, not commercial impact or enterprise adoption.
Executive expertise
The scope to connect strategy, systems, organizations, and outcomes.
- Technology strategy and transformation
- Product and engineering leadership
- Artificial intelligence adoption and operating models
- Organization design and scaling
- Executive and board partnership
- Platform modernization and cloud architecture
- Security, data governance, and Responsible AI
- Vendor, budget, operations, and go-to-market leadership
Continue the conversation
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The PDF provides the complete résumé; the GitHub repository is the main source for the measured evidence behind the AI operating-model work.