Summary
Valerii Pokrovskii is an ML engineer with eight years of experience specializing in NLP, recommender systems, and applied LLM solutions. He has driven production search and personalization features at SberDevices and now builds recommendation systems at Ozon Tech, with prior research and product-facing RAG/agent work at Huawei. At ITMO he combined AutoML research with practical engineering, developing a genetic algorithm core and exploring LLM integration into AutoML frameworks. Comfortable moving models from research to product, he blends deep academic training (MSc in Big Data and ML) with hands-on system integration and ranking optimization. Colleagues describe him as someone who pairs rigorous experimentation with a pragmatic focus on relevance and latency in search and recommendation pipelines.
8 years of coding experience
4 years of employment as a software developer
Магистр, Big data and machine learning, Магистр, Big data and machine learning at ITMO University
Бакалавр, Математическое обеспечение и администрирование информационных систем, Бакалавр, Математическое обеспечение и администрирование информационных систем at Peter the Great St.Petersburg Polytechnic University
Русский, English