35 years of building systems that empower rather than replace
In 1990, I began my career writing assembly language. Today, I architect AI systems that fundamentally reimagine how humans and machines collaborate. The thread connecting these decades isn't just technical evolution—it's an unwavering focus on amplifying human capability.
At CSX Transportation, I implemented voice recognition systems when Siri was still science fiction. Working with American Express and IBM, I learned that successful technology isn't about replacing human judgment—it's about enhancing it. These early experiences shaped my philosophy: build systems that adapt to humans, not the other way around.
Became a Microsoft Certified Trainer in 1998 and AWS Authorized Instructor in 2017. Training thousands of professionals across global enterprises taught me a crucial lesson: the gap between theoretical knowledge and production reality is where most projects fail. This insight drives my current work—building AI that bridges that gap.
Established Syrinx Philippines in Cebu City, building and leading a development team that specialized in advanced object-oriented architectures and enterprise systems. Successfully bridged cultural and language differences to deliver solutions for Ceridian Corporation and other global clients, often at significantly lower costs while maintaining enterprise quality standards.
Architected the Syrinx Community Server—a revolutionary ASP.NET platform that unified CMS, e-commerce, forums, blogs, and multi-tenancy into a single codebase. Featured parallel processing, SOA with SOAP protocols, and innovative offline Windows application synchronization that let users manage sites while disconnected. Extended Nitobi's JavaScript controls for ASP.NET, pioneering Ajax interactions years before they became mainstream. This global experience revealed that successful technology transcends cultural boundaries when it respects universal human patterns—a principle that now guides my AI architecture philosophy.
Architected critical systems for HBO, NBC Universal, and NCSoft—from video processing pipelines to real-time gaming infrastructure. At RealSelf, engineered customer-facing applications serving millions using AWS Lambda and serverless architectures. Led the transformation of MapShots' desktop GIS platform to a modern web application, enabling precision agriculture at scale for large farming operations.
As AWS Application Architect at American Family Insurance, reduced application load times by 90%—saving millions in infrastructure costs and dramatically improving customer experience. But the real revelation wasn't the performance gain; it was understanding how enterprise AI adoption fails when it ignores organizational boundaries and human workflows. This insight directly influenced my current work on personality-based AI architectures with isolated memory domains.
Founded StringClub, growing it to 40,000 subscribers and 140,000 YouTube followers while developing native apps for iOS, Android, and Windows 10. Built the entire technology stack supporting video streaming, subscription management, and e-commerce integration with Amazon for third-party product sales. This venture proved that enterprise architecture principles could scale down to consumer applications while maintaining performance and reliability—lessons that directly inform my approach to making AI accessible to diverse user groups.
Founded Kusog AI to implement a radical idea: What if AI systems thought like organizations? Built production systems with personality-based architectures, isolated memory domains, and adaptive interfaces. The result: 70% task completion rates where industry standard is 15%. Not because our AI is smarter, but because it respects how humans actually work.
After implementing systems for Fortune 500 companies, I've learned to separate AI promise from AI reality. My talks focus on what actually works in production, not what sounds impressive in demos.
I share architectural patterns and principles, not product features. Whether it's multi-pattern conversation management or RAG isolation strategies, the goal is to teach approaches that transcend any single implementation.
Every system I've built—from early voice recognition at CSX to modern AI at Kusog—starts with a simple question: How do we make technology feel natural to humans? The answer shapes everything else.
I don't deliver motivational speeches about AI's potential. I share hard-won lessons from the trenches of enterprise implementation—what fails, what works, and why the difference matters.
Based in Las Vegas, I'm exploring how AI can fundamentally reimagine human-computer interaction. My recent work on multi-pattern conversation architectures and personality-based AI systems challenges the industry's single-chatbot paradigm.
These principles power production systems at Kusog AI, where we're proving that AI can adapt to organizational complexity rather than forcing organizations to simplify for AI.