AI Knowledge Engineer who turns complex problems into elegant solutions. I've spent 14+ years at the intersection of technology, strategy, and human systems—building platforms that make intelligence actionable.
I didn't start out in product management—I came up through accounting and financial analysis at firms like Moss Adams and Jones Energy. I learned to think in systems, understand complex business processes, and translate data into decisions. But I knew I wanted to build, not just analyze.
In 2013, I earned my Master's in Technology Commercialization from UT Austin's McCombs School of Business, where I learned to bridge the gap between technical possibility and business viability. That's been my sweet spot ever since: taking complex technical challenges and turning them into products that deliver real value.
For the past 14+ years, I've led product and strategic delivery work across wildly different domains—blockchain education platforms, government compliance systems, enterprise AI platforms, Fortune 500 digital transformations. What ties it all together? I thrive where complexity meets impact.
Give me a 200-page regulatory document, a vague business need, or a technical challenge engineers say is "impossible"—I'll translate it into a clear product strategy with actionable requirements. Complexity doesn't scare me; it energizes me.
I've orchestrated cross-functional teams across engineering, design, QA, regulatory, and operations to deliver $872K+ in strategic projects. I earn engineering respect through technical credibility—without pretending to be a software engineer.
When California needed a vaccine distribution system in 15 days during COVID-19, I led the team that delivered it—CIO 100 Award winner. When LA needed air quality monitoring for 17M residents—EPA Clean Air Award. My track record isn't luck—it's systematic thinking and relentless execution.
I've spent years thinking about the nature of information, identity, and how systems of knowledge actually work. What happens when we move from static databases to living, breathing knowledge graphs? How do we architect trust in distributed systems? What does it mean for machines to "know" something?
These aren't academic questions for me—they're the foundation of how I approach every platform I build. I believe the next decade of technology will be defined not by AI replacing humans, but by knowledge systems that amplify collective intelligence.
I want to build infrastructure that developers depend on, systems that millions use, and products that genuinely make people's lives better. Vanity metrics don't interest me—real impact does.
I'm not interested in looking impressive—I'm interested in delivering results. I'll tell you what I don't know, where I need help, and when I'm wrong. Ego has no place in product management.
I've walked away from projects that cut corners on accessibility, security, or testing. Great products require discipline and standards. I'm willing to fight for quality even when it slows things down.
I've mastered blockchain, government compliance, and AI platforms—all complex domains I knew nothing about when I started. Stay curious, stay humble, keep learning. That's the only way to stay relevant.
Catx.io Technology Community
For over 10 years, I've run a 150+ member technology community exploring emerging tech—
blockchain, AI, cloud computing, whatever's next. It keeps me connected to what developers
actually care about.
DogeLounge
Currently building a blockchain-enabled platform combining NFT marketplace functionality
with AI image generation. It's my playground for exploring where blockchain and AI intersect,
and it keeps my technical skills sharp.
Startup Ecosystem
From 2012-2016, I co-founded a startup incubator community in Austin that grew from 5 to
150+ members. I love helping founders navigate early-stage challenges—product-market fit,
fundraising, hiring, scaling.
Want to chat about product challenges, interesting problems, or potential opportunities? I'm always happy to talk shop.