Summary
Danila Palukhin is a Computer Vision Engineer with 10 years of experience designing and shipping production-grade ML systems across segmentation, detection, anomaly recognition, OCR and audio event detection. Based in Tbilisi, he has moved from research roles into hands-on engineering at companies like Severstal, OSAI and currently Sportradar, where he focuses exclusively on CV pipelines and reliable deployments. He emphasizes clean, maintainable code and CI/CD improvements, and has a track record of taking multiple projects from prototype to sustained production support. Actively exploring generative models—particularly diffusion networks—he combines practical industrial experience with a strong academic foundation (MSc in Applied AI Systems). A former recommender-systems practitioner, he brings cross-domain insight that helps tailor vision solutions to real-world product constraints.
10 years of coding experience
4 years of employment as a software developer
Магистр, Системы прикладного искусственного интеллекта, Магистр, Системы прикладного искусственного интеллекта at Воронежский Государственный Университет