I build backend systems and AI-powered services that run in real production environments. I care a lot about reliability, correctness, and making sure what we ship actually holds up under load.
Most of my work has been around systems that support real business workflows. I’ve worked on cloud ERP platforms, enterprise distributed systems, and AI-enabled product infrastructure. The common thread for me has always been building things that don’t just look good architecturally, but actually work predictably when people depend on them.
At Smartcat, I work on AI-enabled product systems. That includes LLM-based services, retrieval pipelines, and the backend infrastructure behind multilingual content workflows. A lot of my time goes into thinking about how AI components fit into distributed systems without becoming fragile or hard to maintain.
Before that, at EPAM Systems, I worked on distributed architectures for enterprise clients. Building and integrating microservices in cloud-native environments taught me how quickly complexity grows, and how important it is to keep systems understandable as they scale.
At Acumatica, I contributed to multi-tenant cloud ERP services on AWS, mostly on backend components supporting financial and operational processes. That experience gave me a solid appreciation for transactional data, domain logic, and the kind of discipline enterprise SaaS requires.
Fun fact: I rarely skip a morning walk, no matter where I am.