I’m Ilya Verbitskiy. I help organizations design secure, production-ready AI systems.

I’m an enterprise architect, software engineer, and advisor with more than 20 years of experience across banking, finance, e-commerce, and digital platforms. My work sits at the intersection of AI, cloud architecture, security, and large-scale software delivery, with a particular focus on helping organizations make sound technical decisions before complexity becomes harder to manage.

Over the years, I’ve worked with multinational companies, founders, and senior stakeholders across Europe, North America, and Southeast Asia. I’ve led architecture work in regulated and high-complexity environments, designed secure cloud operating patterns on AWS, and helped teams move from early experimentation toward production-ready systems with clearer architecture, stronger governance, and better delivery discipline.

AI is a major focus of my work today. I help organizations think through how to use large language models, AI workflows, and agent-based systems in ways that are practical, secure, and operationally sound. That includes architecture, control boundaries, production readiness, and the broader decisions needed to make AI useful in the real world rather than just impressive in a demo.

My background combines hands-on engineering with strategic architecture leadership. I’ve worked deeply with Python and JavaScript/TypeScript ecosystems, AWS, distributed systems, platform design, and secure delivery practices. That allows me to work across both executive-level decision making and technical implementation realities, translating business goals into architectures that can actually hold up in production.

I also write and speak about cloud architecture, security, distributed systems, graph databases, and applied AI. Speaking and publishing have become an important part of how I think, learn, and contribute to the field. They also reflect the kind of work I care most about: thoughtful, practical, technically serious work that helps people build better systems.

Whether the challenge is AI adoption, cloud modernization, platform evolution, or architectural uncertainty, I’m most useful when the stakes are high, the systems are getting more complex, and the right technical judgment matters early.