Alexandre Quemy
Member Of The Community Of Experts at Eloquence AI
Krakow, Lesser Poland Voivodeship
Summary
🤩
Rockstar🎓
Top SchoolAlexandre Quemy is a PhD-trained machine learning researcher and seasoned engineer with 13 years of experience building practical AI systems and leading technical teams across startups and enterprises. He developed a novel hypergraph-based classification theory during his doctorate that emphasizes explainability and minimal hyperparameters, and applied it to curate large legal datasets achieving over 94% judgment-outcome accuracy. As a co-founder and founding engineer he bridges research and product, automating data-preparation workflows and shipping robust ML tooling at companies like YData (where he also contributed bug fixes and type/documentation improvements to the popular ydata-profiling open-source project). Based in Krakow, he combines deep mathematical rigor with hands-on Python engineering and a focus on reducing the expertise barrier to AI adoption.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD) Mathematics and Machine Learning, Doctor of Philosophy (PhD) Mathematics and Machine Learning at Poznan University of TechnologyFrench Engineer Diploma (equiv. Msc.) Mathematics & Software Engineering, French Engineer Diploma (equiv. Msc.) Mathematics & Software Engineering at INSA Rouen NormandieMaster's degree HPC A.I, Master's degree HPC A.I at Cracow University of Technology
French, English, Spanish, Polish
Github Skills (11)
pandas10
debug10
exploratory-data-analysis10
python10
data-profiling10
data-analysis9
time-series9
error-handling9
unit-testing8
jupyter8
machine-learning7
Programming languages (9)
Github contributions (5)
ydataai/ydata-profiling
Oct 2022 - Jan 2023
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Role in this project:
Data Scientist & Python Developer
Data Scientist & Python DeveloperContributions:102 reviews, 59 commits, 132 PRs in 2 months
Contributions summary:Alexandre primarily contributed to bug fixes and addressing errors within the codebase, specifically related to linting, mypy errors, and percentage formatting. They implemented changes to ensure the correct type for widgets, the use of colors from specified configurations, and handling of time-series-related features. The user also made documentation adjustments, updated examples, and solved issues related to large integers and datetime casting within the data profiling library.
pythonjupyter-notebookpandas-profilingbig-data-analyticsstatistics
echr-od/ECHR-OD_explorer
Sep 2019 - Feb 2022
Data Explorer for the European Court of Human Rights Open Data project.
Contributions:31 commits, 19 PRs, 18 pushes in 2 years 4 months
courtopen-rightsdata-explorereuropeanrights
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