Aleksei Maslakov
Head Of Data Senior Product Owner
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAleksei Maslakov is a technical product leader with 12+ years of experience designing and scaling enterprise financial systems and leading cross-functional engineering teams. He combines hands-on expertise in database architecture, performance tuning, and system design with product strategy for trading platforms and B2B fintech solutions. Having progressed from senior database developer to Head of Data and Senior Product Owner, he excels at bridging business needs and engineering execution while growing teams from startup to enterprise scale. He has practical experience integrating emerging technologies such as blockchain into production fintech products and continues to deepen his modern data stack knowledge. An active contributor to testing infrastructure in notable open-source projects like DVC, he brings a pragmatic quality-first mindset to complex data and ML workflows. Based in the UK, Aleksei is known for translating high-level product vision into auditable, high-performance systems.
11 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Information systems in Economics, Bachelor's degree, Information systems in Economics at Penza State University
English, Russian, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
pytest10
python10
test-automation10
data-versioning9
versioning9
version-control9
rep8
repr8
developer-tools6
data-science5
machine-learning4
Programming languages (37)
Github contributions (5)
iterative/dvc
Jul 2019 - Aug 2019
🦉 Data Versioning and ML Experiments
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:9 commits, 1 PR, 25 comments in 6 days
Contributions summary:Aleksei focused on enhancing the testing infrastructure of the DVC project. Their contributions involved adding new tests to cover modified file content, directory changes, and other aspects of the `diff` command functionality. They also refactored and merged existing tests, improved test output formatting and corrected existing tests to ensure accuracy. The work primarily targeted the `tests/func/test_diff.py` file, indicating a strong focus on functional testing.
data-version-controlml-modelspythonversion-controldata-science
GildedHonour/harvest-api-client
Feb 2015 - Oct 2019
Contributions:33 pushes, 2 comments in 4 years 8 months
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