Volodymyr Floreskul
Independent AI Projects at AI Experiments & Research
London, England, United Kingdom
Summary
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Senior🎓
Top SchoolVolodymyr Floreskul is an experienced ML engineer and tech lead with 13 years building large-scale, revenue-driving systems at Google and production recommender and graph pipelines at Spotify. He specialises in end-to-end ML systems—TensorFlow pipelines, NLP, classical ML, latency-optimised LLM inference, fine-tuning, RAG and agentic AI—delivering solutions that processed billions of records per day and saved or generated multi-million-dollar outcomes. Now running independent AI projects from London, he prototypes GenAI services and Stable Diffusion integrations while focusing on performance and deployability. A proven founder and startup operator, he launched a Series A-backed food delivery service and won a residential accelerator programme, combining product instincts with deep engineering. He also has a research pedigree in large-scale graph algorithms (patent, AAAI paper), reflecting a rare mix of theoretical depth and production impact.
13 years of coding experience
12 years of employment as a software developer
Master's Degree (Hons), Software Engineering, Master's Degree (Hons), Software Engineering at University of TartuIgor Sikorsky Kyiv Polytechnic Institute
English, UkrainianGithub contributions (3)
floreskul/basic_algorithms
Feb 2013 - Mar 2015
Contributions:73 commits, 15 pushes in 2 years 2 months
floreskul/insight-data-engineering-challenge
Mar 2015 - Mar 2015
Contributions:22 commits, 22 pushes in 1 day
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