Alexis Bogroff
Co-Founder at University of Paris I: Panthéon-Sorbonne
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolAlexis Bogroff is a data scientist and educator with eight years of experience blending hands-on ML engineering, academic teaching, and startup leadership from Paris. As co-founder of OptimalFlow.app he co-leads AI and scientific development, building computer vision models that turn visual data into actionable insights. He teaches deep learning, ML for business and Python across universities and platforms, mentoring professionals from BNP to Amazon and helping bridge theory with practical deployments. An active open-source contributor, he improved CPU detection and test quality for the well-known CodeCarbon emissions tracker, showing attention to efficiency, reliability and environmental impact. His background in quantitative finance and production automation gives him a pragmatic edge for designing robust data systems that meet both research and operational needs.
8 years of coding experience
1 year of employment as a software developer
Master of Arts Quantitative Finance, Master of Arts Quantitative Finance at University of Paris I: Panthéon-Sorbonne
Stackoverflow
1reputation
0reached
0answers
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Github Skills (8)
pytest10
python10
testing10
cpu-architecture9
pandas9
data-analysis8
performance-optimization8
machine-learning4
Programming languages (4)
Github contributions (5)
mlco2/codecarbon
May 2021 - Oct 2021
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Role in this project:
Data Scientist
Data ScientistContributions:4 reviews, 70 commits, 3 PRs in 4 months
Contributions summary:Alexis primarily focused on improving CPU model matching for the CodeCarbon project, which tracks emissions from compute. They implemented fuzzy string matching using the `fuzzywuzzy` library to accurately identify CPU models, ensuring that the tool can correctly determine power consumption based on the detected CPU. The user also added tests to validate the accuracy of the CPU model matching, demonstrating a focus on code quality and reliability. Furthermore, they refactored the existing code for improved efficiency and readability.
pythondata-scienceemissionscarbon-emissionsrecommend
AlexisBogroff/AdaptiveLearningPlatform
Mar 2020 - Jul 2022
Help people learn effortlessly
Contributions:4 PRs, 105 pushes, 38 branches in 2 years 4 months
javascriptreacthelp-people
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