Summary
Alexis Pokotylo is a freelance Machine Learning Engineer and PhD-trained statistician with 13 years of software experience and a decade-plus track record of delivering data-driven, cloud-native AI systems. He blends deep academic expertise—authoring widely used R packages and accelerating algorithms during his doctoral work—with hands-on industry impact at Accenture and PwC, where he built scalable Spark pipelines, ML workflows, and Retrieval-Augmented Generation tools. Certified in Azure Data and AI engineering and Spark development, he focuses on MLOps, NLP, and productionizing generative AI while maintaining strong quality and requirement-driven design. Known for mentoring peers and translating stakeholder needs into robust architectures, he has repeatedly improved performance (up to 20x in some Big Data tasks) and pioneered annotation-learning extraction tools that reduce manual effort from the first document. Based in Düsseldorf, he combines research-grade rigor with practical engineering to help organizations leverage RAG and cloud AI in auditable, scalable ways.
13 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Statistics, Doctor of Philosophy (Ph.D.), Statistics at University of Cologne
Visiting scholar, Classification, Visiting scholar, Classification at Hochschule Merseburg
Igor Sikorsky Kyiv Polytechnic Institute
English, German, Ukrainian, Russian