Summary
Dmitry Kan is a Product Director and search specialist with a PhD in Computer Science and over a decade leading the design and delivery of large-scale, production search systems. He combines deep research expertise in relevance, query understanding and vector similarity with hands-on engineering experience from startups to enterprise products, driving ML-backed search at companies like AlphaSense, Silo AI, TomTom and now Aiven. As a founder and consultant he has shipped multimodal vector search, ranking QA and speech recognition solutions for international clients while growing feature velocity and operational resilience in distributed systems. He hosts the Vector Podcast and writes about search technologies, translating cutting-edge research into practical product strategy and vendor comparisons that have reached wide audiences. Based in Helsinki, he also teaches LLM and GenAI topics at the University of Helsinki, blending academic rigor with pragmatism—an unusual combo that helps him bridge research, engineering and product teams effectively.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Saint Petersburg State University
Master's degree level, Computer Science, Master's degree level, Computer Science at University of Eastern Finland
Bachelor's degree level, Applied Mathematics, Bachelor's degree level, Applied Mathematics at North Ossetian State University
ND, Entrepreneurship/Entrepreneurial Studies, ND, Entrepreneurship/Entrepreneurial Studies at Stanford University
Russian, English, Finnish, Chinese