Summary
Vladislav Kuleikin is a Computer Vision Engineer with eight years of experience, currently building end-to-end vision models at Roadly Inc. He owns the full model lifecycle—from field research and dataset sourcing/annotation to hyperparameter tuning, model compression, and containerized deployment—ensuring practical inference speed and production readiness. Based in Antalya, he combines hands-on annotation management and scraping/legal vetting of data with rigorous architecture comparisons to deliver robust solutions. His background includes a machine learning internship at X5 Retail Group and a Computer Science (Data Science) degree from Innopolis University, reflecting a strong academic and applied foundation. Notably, he pairs research-aware model selection with operational savvy, often handling both annotation and deployment tasks that bridge research and production.
8 years of coding experience
Bachelor's degree, Computer Science (Data Science), 3.37, Bachelor's degree, Computer Science (Data Science), 3.37 at Университет Иннополис