Summary
Vyacheslav Stroev is a Machine Learning Engineer with nine years' experience building applied ML and computer vision systems across startups and established companies, currently based in Nicosia and open to relocation. He has moved models from research to product at organizations like Huawei and Wargaming, with hands-on work in image enhancement, segmentation, model optimization for edge devices, and NLP tasks such as NER and relation extraction. His background includes academic rigor—pursuing a PhD in Computer Science at MSU—and practical impact, from an MVP face-manipulation app to productionized event monitoring using semi-supervised NER. Comfortable across the ML lifecycle, he blends research-driven methods (multitask LM+NER training) with pragmatic engineering for user-facing systems and marketing-oriented user embeddings. Notably, he improved a user-embedding baseline by a measurable F1 point and has experience tailoring pipelines for constrained deployments.
9 years of coding experience
7 years of employment as a software developer
Lomonosov Moscow State University