What Actually Stops People From Getting Promoted
The difference between absorbing chaos and removing it — why smart, hardworking engineers stay stuck while others move up. It's not about doing more, it's about thinking differently.
Engineering Leader & AI Systems Architect
I'm Brian, an Engineering Leader & AI Systems Architect based in Austin, Texas. I specialize in transformation — rebuilding systems, cultures, processes, and assumptions that slow companies down. Over 17 years I've built and scaled a multi-product SaaS ecosystem serving over 500K monthly active users, leveraging AI automation and scalable platforms to drive revenue growth.
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Areas of Expertise
Key domains where I help organizations achieve breakthrough results
AI & Machine Learning
Graph neural networks, RAG systems, LLM integration, and AI-driven automation
Data Engineering
Real-time data pipelines, microservices architecture, and cloud-native ETL
Platform Engineering
Scalable SaaS platforms, distributed systems, and infrastructure automation
Growth & SEO
Programmatic SEO, content automation, and revenue optimization strategies
Culture Transformation
Building ownership-driven teams and data-led organizational systems
Technical Leadership
Engineering leadership, system architecture, and strategic technical vision
Why Technical Leaders Must Code: The Case for Hands-On Leadership
I used to think leadership meant stepping away from code. I was wrong. The best technical leaders stay hands-on — not because they have to, but because credibility, technical judgment, and problem-solving require it.
Transforming Company Culture: From Founder-Dependent to Ownership-Driven
How I transformed Advision from a company where everyone waited for my decisions to one where leaders owned their domains and drove results. The systematic approach to hiring for ownership, building accountability systems, and creating a culture of strategic thinking.
Building an NFL Play Prediction Model: Why Graph Neural Networks Changed Everything
How I built a sophisticated prediction model that captures the complex relationships in NFL play-calling using Graph Neural Networks, multi-task learning, and quantile regression. The architectural decisions that made predicting football actually work.
Work
- Company
- Advision Development
- Role
- Head of Product & Engineering
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- Company
- Advision Development
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- VP of Engineering
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- Company
- Advision Development
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- Principal Software Engineer
- Date
- Company
- Advision Development
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- Full-Stack Software Engineer
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