Mikhail Dubov
Machine Learning Engineer at Meta
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMikhail Dubov is a Machine Learning Engineer in London with 14 years of experience building production ML, data engineering and trading systems across startups and large tech firms. He has led and scaled data teams at Revolut—shipping fraud prevention, receipt parsing, A/B testing platforms and a BI migration that cut dashboard load times by 95%—and now works on ML at Meta. His background spans algorithmic trading (designing a live strategy with strong P&L and Sharpe), open-source cloud performance (top contributor to OpenStack Rally), and published research on string-matching algorithms. Comfortable from core algorithm design to end-to-end deployment (Python, Airflow, Trino, GCP, Kubernetes), he excels at turning research-grade ideas into reliable, observable systems. Off the clock he’s an award-winning amateur pianist and chamber musician, bringing the same disciplined creativity to engineering and product problems.
14 years of coding experience
10 years of employment as a software developer
German Language, German Language at Linguistic Gymnasium 1513Master’s Degree Data Science, Master’s Degree Data Science at Higher School of EconomicsMaster’s Degree Computer Science, Master’s Degree Computer Science at Université Paris-Est Marne-la-Vallée
English, German
Stackoverflow
121reputation
450reached
0answers
1question
Github Skills (17)
benchmark10
python10
testing10
benchmarking10
openstack10
documentation10
python-multiprocessing9
jinja29
devops9
multi-process9
multiprocessing9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (3)
Github contributions (5)
openstack/rally
Aug 2013 - May 2015
Rally provides a framework for performance analysis and benchmarking of individual OpenStack components as well as full production OpenStack cloud deployments. Mirror of code maintained at opendev.org.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:113 commits in 1 year 8 months
Contributions summary:Mikhail's commits primarily focused on improving the documentation and core functionality of the Rally benchmarking tool, a project for performance analysis and benchmarking of OpenStack deployments. Contributions included documenting the architecture, implementation details, and usage scenarios. The user also implemented features such as adding cleanup functionalities for test runners, adding a new command to generate output, and enabling more features to allow users to create benchmark results.
benchmarkingopenstack
mikhaildubov/computational-geometry
Mar 2012 - Feb 2016
Contributions:53 commits, 5 pushes in 4 years
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