Summary
Alexey Evlampiev is an Analytics Architect and Databricks Champion with over a decade of experience designing governed data platforms, distributed systems, and enterprise-grade AI for regulated, high-security environments. He combines hands-on engineering in PostgreSQL, Apache Spark, Python, and .NET with strategic architecture—moving AI beyond chatbots into stateful, tool-augmented workflows that are auditable, portable, and compliance-aware. His recent work includes hybrid hot/cold memory architectures synchronizing lakehouse analytics with pgvector-backed real-time agent state, and production retrieval/agentic platforms for semiconductor manufacturing and international legal discovery. Known for bridging deep analytics with low-latency operational execution, he builds systems that embed governance and traceability from day one rather than as afterthoughts. Based in Eindhoven, he pairs a PhD-level analytical background with practical infrastructure automation and delivery, often translating fragmented institutional knowledge into self-improving operational intelligence.
10 years of coding experience
17 years of employment as a software developer
PhD, Mechanical Engineering / Combustion, PhD, Mechanical Engineering / Combustion at Eindhoven University of Technology
English, Dutch