About
Technology leaders face a hard question: how do you adopt AI without betting the business? I've spent two decades helping enterprises answer it — building the architectures, teams, and strategies that turn emerging technology into real business outcomes.
As VP of Technology and Chief Architect at Trinetix, I lead engineering practices, drive enterprise AI adoption, and architect cloud-native platforms for organizations in financial services, logistics, and professional services.
My background spans solution architecture, cloud infrastructure, and full-stack engineering — from designing Azure-based platforms at enterprise scale to advising Fortune 500 companies on digital modernization. I hold a degree in aerospace engineering from the National Aerospace University in Kharkiv, Ukraine — a background that instilled a deep respect for systems thinking, precision, and building things that don't fail under pressure.
I write and speak about enterprise AI, cloud architecture, and the practical challenges of digital transformation. Based in Nashville, Tennessee.
Expertise
Enterprise AI & Intelligent Automation
AI adoption strategy, data readiness, generative AI, agentic workflows, and AI-native software development. Turning AI ambition into production systems.
Cloud & Solution Architecture
Azure (AKS, Cosmos DB, Redis, Web Apps), AWS, Kubernetes, microservices. Designing cloud-native platforms that scale without surprises.
Full-Stack Engineering
Node.js, C#/.NET, React, MongoDB — hands-on across the stack. Building and scaling engineering teams, architecture practices, and development standards.
Digital Innovation Strategy
Bridging technology and business outcomes. Innovation council leadership, technology evaluation, build-vs-buy decisions, and vendor strategy.
What I Believe
Data Before Models
The most sophisticated AI is only as good as the data it learns from. 60-85% of AI outcomes depend on data preparation. Get the foundation right first.
Strategy Over Hype
Every technology decision should trace back to a business outcome. If it doesn't, it's a science project.
People Drive Transformation
Technology is the enabler, but people are the engine. Culture change is the hardest and most important part.
Ship, Learn, Iterate
Perfection is the enemy of progress. Start with a focused pilot, measure relentlessly, and scale what works.