Danila Karnatsevich is a backend and platform engineer with 8 years of experience building high-load, data-rich systems and leading engineering teams in Russian tech firms. Currently at VK AI, he designs and delivers near‑realtime DAG-based data products with embedded AI features like embeddings and classification, having launched multiple verticals from scratch and improved core architecture and product metrics. Previously he led teams at Tinkoff, driving SLA design to full compliance and boosting SEO-driven visibility while implementing async and real‑time processing solutions. His background in Java/Spring and distributed systems includes performance tuning, fault-tolerance improvements, and CI/CD automation across enterprise projects. Collected across Big Tech and consultancy roles, his work combines hands-on coding with architectural leadership and a knack for turning complex data flows into reliable production services.
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