Sergiy V is an AI solutions architect based in Berlin with 11+ years of experience designing and deploying production-grade ML systems for banking, automotive, and media. He specializes in turning manual, person-dependent backoffice workflows into privacy-preserving, scalable automation—often via RAG chatbots, document processing, and on-prem LLM deployments that speed inference while keeping data in-house. At DKB and i-love-ai he shipped systems that cut support workload, improved routing accuracy, and delivered real-time AI services in regulated environments. His background spans computer vision (scene classification, celebrity ID, virtual try-on) and ADAS safety features, reflecting a rare blend of NLP, CV and systems optimization. He emphasizes process-first solutions over tool-chasing, finding the specific daily bottlenecks where automation yields immediate ROI. A detail worth noting: he has hands-on experience accelerating on-prem LLM throughput through GPU optimization—turning research models into fast, deployable services.
11 years of coding experience
9 years of employment as a software developer
Deep Learning, Deep Learning at Coursera
Master of Science (M.S.), Informatik (Artificial Intelligence and Robotics), Master of Science (M.S.), Informatik (Artificial Intelligence and Robotics) at Freie Universität Berlin
Nanodegree, Data Engineering, Nanodegree, Data Engineering at Udacity
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