Mikhail Rozhkov
Technical Product Manager, AI MLOps at Nebius AI
Amsterdam, North Holland, Netherlands
Summary
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Rockstar🎓
Top SchoolMikhail Rozhkov is a Technical Product Manager for AI MLOps based in Amsterdam with 10 years of experience, currently leading development of the Nebius AI Platform. He blends hands-on ML/MLOps engineering—contributing to open-source projects like Evidently (adding a Streamlit dashboard integration)—with product leadership gained at Iterative, where he helped win and retain early customers and implemented DVC-driven workflows across banking, satellite imaging, medical and automotive projects. As co-founder of Machine Learning REPA and a former head of data science at major banks, he specializes in moving models from prototype to production while building training and consulting offerings around reproducible pipelines. His PhD in Competencies and Performance Management and background in knowledge management give him a distinctive focus on team capability, measurable outcomes, and durable processes in AI product delivery.
11 years of coding experience
6 years of employment as a software developer
PhD, Competencies and Performance Management, PhD, Competencies and Performance Management at The Hong Kong Polytechnic UniversitySpecialist (Master), Marketing, Specialist (Master), Marketing at Amur State UniversitySpecialist, Finance management, Specialist, Finance management at The Moscow State University of Economics, Statistics and Informatics (MESI)
English, Chinese, French, German
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
pandas10
streamlit10
python10
data-science10
performance-monitoring9
jupyter-notebook9
machine-learning9
process-monitoring9
uptime-monitoring9
data-monitoring9
monitoring9
data-quality8
html8
html58
Programming languages (8)
Github contributions (5)
evidentlyai/evidently
Dec 2020 - Sep 2023
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:5 PRs, 1 comment in 2 years 10 months
Contributions summary:Mikhail implemented a Streamlit dashboard integration example, demonstrating the ability to incorporate Evidently's functionalities into a user-friendly interface. They updated the examples/integrations/readme.md file to include the new integration, and modified code style and removed redundant files. The changes involve significant code modifications and the integration of a new visualization tool.
ml-modelspythonmonitordiscordjupyter-notebook
mlrepa/automate-ml-with-dvc
Jun 2019 - Apr 2021
Contributions:24 commits, 1 push, 1 branch in 1 year 10 months
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