Senior backend engineer running an AI-driven SDLC inside a real enterprise. I teach engineers to do the same — without working more hours than they do now.
Backend and distributed systems at high load. Agentic systems in production, not in a notebook: shipped, reviewed by a security team, and running under compliance constraints.
| Users served by systems I built | 20M+ |
| Events processed daily | hundreds of millions |
| Engineers led through AI adoption | 60+ |
| Manual verification removed by one agentic solution | 200+ hours, built in ~10 |
| Audit-log system redesign | 25 s → 0.5 s (60×) |
| Notification platform at 20M-user scale | 20% faster delivery |
| Engineers in the .NET community I led | 140+ |
| University students taught | 150+ |
- AI consulting — getting agentic tooling into an engineering organisation and through its security review. Architecture, rollout, evaluation, cost.
- Mentorship — a small number of slots for backend engineers who own a system end to end and want AI genuinely embedded in how they work. Async-heavy, outcome-oriented.
- Speaking — .NET, distributed systems, AI in engineering practice.
Write to me on Telegram: @Bardin08 — direct messages, the fastest way to start a conversation. Engineering channel: @tech_with_bardin.
Stack. C# / .NET and ASP.NET Core · Kafka, RabbitMQ, MassTransit · PostgreSQL, MS SQL, MongoDB, Redis · Docker, Kubernetes, Terraform, AWS, GitHub Actions · Python · LLM agents, MCP, evaluation and observability.
- Lecturer at the Kyiv School of Economics — Programming Concepts, Algorithms and Data Structures, Software Development Practices, taught in English.
- Co-created and taught Modern Development Techniques on .NET at Igor Sikorsky Kyiv Polytechnic Institute.
- MSc (2024–2026) and BSc (2020–2024) in Software Engineering, KPI.
- Speaker at .NET and engineering meetups.