Summary
Vladimir Alekseichenko is the founder and CEO of DataWorkshop, a Krakow-based AI consultancy that has spent the last 12 years helping Fortune 500 clients in automotive, telecom and logistics turn large-scale data into production Machine Learning solutions. He combines deep hands-on expertise in data engineering and ML with product-minded delivery—designing end-to-end AI strategies, building TB-scale search and analytics platforms, and embedding ML into manufacturing and business workflows. A pragmatic perfectionist, he pairs early careers in software engineering, CI/CD and release management with later roles as architect and data scientist, enabling him to bridge research, engineering and operationalization. He also co-founded a specialist ML conference and hosts Poland’s first AI-focused podcast, signaling a commitment to community-building and translating complex ideas into practical business impact. Fluent in both startup and enterprise contexts, he’s as comfortable coding pipelines and models as he is advising executives on data-driven transformation. Outside work he blends curiosity and rigor—an avid traveler, public speaker and father who invests in education and knowledge-sharing across the AI ecosystem.
12 years of coding experience
8 years of employment as a software developer
Computer Science, Computer Science at Udacity
Computer Science, Computer Science at EPFL
Bachelor's Degree Computer Science, Bachelor's Degree Computer Science at AGH University of Krakow
Computer Science, Computer Science at Stanford University
Russian, Polish, English