Good data → Actionable insights → Clear requirements → Excellent engineering → Real impact

I didn't take the traditional path into engineering. I started in business development and marketing, learning how to listen, shape strategy, and connect ideas to outcomes. That foundation eventually led me into tech - and now, nearly a decade into engineering, it's clear that detour is what defines how I build.

My background spans linguistics (BS), business (MBA), data science (MS), and computer science (MS). It wasn't a master plan - but it gave me a systems view of problems: how language, data, software, and business intent intersect to create products that actually work in the real world.

As an engineering lead, my focus is straightforward: ship products that matter. I work closely with stakeholders to turn ambiguity into clear requirements, translate complex data into decisions, and guide teams toward scalable, well-architected solutions - often powered by AI. I sit naturally at the intersection of engineering, data science, and business strategy, not because it's trendy, but because it's effective.

We're now firmly in the GenAI era - and the standard for engineering has changed. One curious, resourceful engineer can now deliver what once required an entire team. Iteration loops are finally fast. Agile is no longer a theory - it's the default. Engineers are no longer just implementers; everyone is an architect and a product builder.

That shift comes with new challenges. AI can generate code faster than humans can reasonably review, making traditional TDD daunting if approached naively. The answer isn't to slow down - it's to be systematic. Place tests where they matter. Encode requirements and acceptance criteria directly into evaluation, validation, and automation pipelines. That's where I excel.

I'm particularly strong at automating these workflows so teams move fast without sacrificing correctness. When teams struggle with velocity, it's rarely an execution problem - it's a specification problem. If the vision exists, engineering leaders are responsible for architecting it clearly. With AI, clarity is leverage.

I'm deeply curious, always experimenting, and grounded in first-principles thinking. Above all, I believe great products come from strong teams - built on trust, ownership, and pride in what we ship. It's not about perfection; it's about momentum and impact.

Feel free to browse my old projects section to check out what I've built in the past, send me an email, or connect with me on LinkedIn.