I work at the intersection of three areas — architecture, engineering management and AI tools. This intersection is usually exactly where the effect of adopting AI gets lost: one group of people buys the tools, another builds the processes, and a third is responsible for security.
My approach is an engineering one. First, understand how a task moves through your development cycle and where it waits. Then — what keeps AI from working at that stage: no context, no environment for agents, no rules, no metrics. And only then — the tools.
I don't sell subscriptions and I'm not tied to any model vendor. The result of my work stays with you: a documented architecture, a well-tuned process, a trained team.
Areas of expertise
20+ years in IT, architecture and engineering management.
- AI Development Audit
An audit of how AI works across the entire development cycle — from requirements to delivery — with an adoption plan.
- Coding Agents
Agents in the engineering process — tasks, context, an isolated environment, checks and review.
- Legacy Modernization with AI
Modernizing legacy systems — recovering knowledge, tests, step-by-step migration with AI.
- Architecture Audit
An independent architecture assessment — risks, growth constraints and well-founded decisions.
- Platform Engineering
An internal developer platform — delivery pipeline, environments, standards and a foundation for AI agents.
- Private / Local AI
AI inside a closed perimeter — local models, a gateway, data classification and security requirements.
How I can help
Next step
Let's discuss your project
Tell me what is happening with your development and what you expect from AI. I reply personally and suggest a format — a diagnostic, an audit or a consultation.