Summary
Danila Mikhaltsov is a Research and Development Engineer with 11 years in software engineering and four years specializing in production-grade Python backends that operationalize cutting-edge AI research. Based in Moscow, he architects FastAPI microservices, designs evented pipelines with Celery/Redis and PostgreSQL, and packages systems for Kubernetes to deliver scalable AI-driven tooling for developer and QA workflows. At ISPRAS he leads architecture for an AI GUI-testing platform used by a top-three consumer-electronics partner and builds multi-agent crash-to-patch systems combining LLM reasoning with static analysis and RAG pipelines. His MS/BS from Lomonosov MSU and conference publications inform a research-minded approach—he curates multi-million-frame datasets and runs experiments to push model metrics while keeping maintainable engineering practices. Known for clear communication and punctual delivery, he also blogs about backend patterns and AI engineering, bridging academic rigor with pragmatic production delivery.
11 years of coding experience