Summary
Alexey Kuntsevich is a Staff ML Engineer based in Munich with over 16 years of experience across data science, machine learning, and data engineering in fast-paced digital companies. He has led teams up to seven people and driven end-to-end delivery of domain-specific ML systems—from product requirements and data pipelines to production model deployment and BI integration. His recent work spans LLMs and NLP for document understanding at Allianz and Inworld AI, plus current leadership in ML at Procure Ai, reflecting strong expertise in Kubernetes, Hugging Face stacks, Python, and scalable data architectures. Alexey combines a research mindset (PhD candidate background) with product ownership experience, having launched data-enabled adtech that improved ROI by 15% at FlixBus. He excels at bridging technical and non-technical stakeholders, structuring features and KPIs to make models actionable for business teams. A pragmatic problem-solver, he frequently migrates legacy BI stacks to open-source ecosystems to accelerate data science velocity.
11 years of coding experience
18 years of employment as a software developer
PhD candidate Vacuum electronics, PhD candidate Vacuum electronics at Nizhny Novgorod State University
Russian, English, German