Summary
Sergey Chuvakin is a Machine Learning Engineer Team Lead with 8 years of experience building production-grade ML systems across AdTech, Pharma, and airline pricing. He has led teams to design scalable, cloud-native infrastructure (GCP, Kubernetes, BigQuery) and deployed RL-based dynamic pricing and recommender systems that improved revenue and engagement. Sergey champions MLOps best practices—CI/CD, reproducibility, monitoring—and bridges data, backend, and DevOps teams to turn business goals into reliable ML services. He also brings strong NLP and experimentation expertise from large-scale text classification and video recommendation projects, and has introduced DVC/CML workflows in enterprise settings. A former sociologist and university instructor, he pairs rigorous academic teaching experience with hands-on mentorship of junior engineers. Based in Belgrade, he’s notable for translating academic rigor into pragmatic, cost-effective ML architectures.
8 years of coding experience
4 years of employment as a software developer
Master's degree, sociology, Master's degree, sociology at Высшая Школа Экономики
Английский, Французский, Russian, Serbian