Konstantin Frolov

MLOps Engineer at ecom.tech

Russia
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Summary

👤
Senior
🎓
Top School
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.
code10 years of coding experience
job11 years of employment as a software developer
bookMaster of Science - MS, Computer Science, 57 / 100, Master of Science - MS, Computer Science, 57 / 100 at Glyndwr University
bookMaster of Science - MS, Data Science, Master of Science - MS, Data Science at Innopolis University
bookBachelor of Science - BS, Telecommunications Engineering, 4.71 / 5.00, Bachelor of Science - BS, Telecommunications Engineering, 4.71 / 5.00 at Ural State Technical University
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Github Skills (17)

trains10
experiment10
clearml9
k8s9
version-control9
experiment-manager9
deep-learning8
ai8
aws8
machine-learning8
data-management8
devops8
mlops7
llama6
data-science6

Programming languages (2)

C++Python

Github contributions (5)

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frolovconst/PyLearning

Apr 2017 - Oct 2020

Contributions:40 pushes, 1 branch in 3 years 6 months
frolovconst/stock_monitor

Nov 2020 - Apr 2024

Contributions:4 pushes, 2 branches in 3 years 6 months
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