Summary
Konstantin Frolov is an MLOps engineer with a decade of engineering experience and six years specifically delivering and productionizing ML models. He has built ML infrastructure and pipelines across startups and enterprises, including ClearML experiment tracking, Airflow data pipelines, and GitLab CI/CD, and has maintained internal model hosting on Kubernetes. At SKB Kontur he worked on language understanding, ranking systems and A/B testing, and more recently contributed to LLM-based product solutions before joining ecom.tech. His background in analog IC design and telecommunications gives him a strong systems and low-level engineering perspective that he applies to reliable ML deployment. Konstantin holds an MS in Data Science from Innopolis University and blends research-driven modelling with pragmatic infrastructure choices. Based in Russia, he focuses on making ML workflows observable, reproducible and production-ready.
10 years of coding experience
11 years of employment as a software developer
Master of Science - MS, Computer Science, 57 / 100, Master of Science - MS, Computer Science, 57 / 100 at Glyndwr University
Master of Science - MS, Data Science, Master of Science - MS, Data Science at Innopolis University
Bachelor of Science - BS, Telecommunications Engineering, 4.71 / 5.00, Bachelor of Science - BS, Telecommunications Engineering, 4.71 / 5.00 at Ural State Technical University