I'm a builder experienced in taking products from early uncertainty to reliable, scalable systems.
I've worked as an engineer and CTO at early-stage startups, making foundational technical decisions under real constraints (small teams, limited time, and evolving requirements) across architecture, AI/ML feasibility, and production scaling.
Today, I partner with founders and small teams to bring clarity to what to build, how to build it, and which trade-offs matter most at their stage.
Selected Work
De-Risking Autonomous AI Game Generation Before Betting the Company
Validated autonomous AI game generation feasibility and delivered a working PoC as sole architect
Removing Hidden Architectural Debt Before Scale Broke the System
Removed architectural debt and reduced API latency 40–60% while maintaining feature velocity for a 5-person team
Surviving Two Platform Pivots Without Burning the Runway
Navigated App → Web → App pivots and shipped iOS + Android in 4 weeks by reusing ~90% of the web stack
Where I Add the Most Value
Good Fit
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Early-stage teams (pre-Series B) navigating architectural or technical uncertainty
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Products that work but are becoming fragile under growth
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AI/ML/GenAI ideas that need feasibility validation before heavy investment
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Teams that want technical direction, not just execution
Not the Right Fit
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Long-term maintenance or incremental feature delivery
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Roles where technical decisions are tightly constrained by predefined process
I've done this work in structured teams as a full-time engineer, technical lead, and CTO. This reflects where my impact is highest, not the full range of my experience.
"You don't find your path, you walk it, & it finds you."