Summary
Vladimir Sirotinin is an AI Architect with three decades of software design experience and a decade focused on applied AI/ML systems, combining deep expertise in GenAI, NLP, LLMs, and graph analytics. He has led production deployments—from a Copilot-style Semantic RAG assistant integrated into Azure DevOps to high-performance vehicle identification and distributed vector index servers—demonstrating a knack for turning research ideas into scalable, cost-saving engineering. His background spans federal and commercial programs (NCBI, DOT, USPTO-focused projects, and eDiscovery) where he built petabyte-scale search, ML pipelines, and AR/VR data visualizations. Equally comfortable designing multimodal training frameworks and low-latency similarity services, he often blends ontology-driven semantic graphs with fine-tuned LLMs for robust knowledge bases. Based in Palm Coast, FL, he brings rare continuity across legacy systems and bleeding-edge AI, and a patented-minded approach to architecting auditable, compliance-aware solutions.
10 years of coding experience
29 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Bauman Moscow State Technical University