Summary
Volodymyr Miz is a Senior Machine Learning Engineer with 11 years of experience combining deep research (PhD-level) and production engineering to deliver AI-driven solutions across CAD/CAE, recommendation systems, and scientific search. He builds and deploys end-to-end ML products—leveraging graphs, GNNs, LLMs, and scalable APIs—to turn domain-specific reasoning into measurable business impact (e.g., a 40% CTR lift on a graph-based recommender). Currently at Neural Concept, he engineers LLM integrations that accelerate CAD workflows, drawing on prior roles that spanned prototyping for industry leaders and advising executives on AI strategy. Comfortable across Python, PyTorch, Neo4j, LangChain and cloud deployment, he bridges research rigor and pragmatic software delivery. Based in Lausanne, he blends strong academic roots with a knack for translating complex graph and generative-AI ideas into production-ready systems that shorten design cycles.
11 years of coding experience
9 years of employment as a software developer
Kharkiv National University of Radio Electronics
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Ecole polytechnique fédérale de Lausanne
English, Russian, Ukrainian, French, Italian