Aleksey Bilogur is a software engineer with 11 years of experience building ML tooling and backend systems, currently contributing to machine learning infrastructure at Reddit. He blends strong math training (BA, 3.9) with hands-on open-source work—authoring visualization code for missingno and contributing geospatial plotting and geopandas examples that improve data storytelling. His background spans backend platform work at Quilt and practical ML tooling at Spell and Kaggle, with a track record of tightening tests, refactoring, and packaging reusable Python libraries. Based in New York, Aleksey is comfortable shipping both data-facing front-end visualizations and robust backend fixes, a combination that helps bridge data science and production engineering.
11 years of coding experience
Bachelor of Arts (BA), Mathematics, 3.9, Bachelor of Arts (BA), Mathematics, 3.9 at Baruch College, City University of New York (CUNY)
Class of 2013, Class of 2013 at Stuyvesant High School
High-level geospatial data visualization library for Python.
Role in this project:
Data Scientist & Front-end Developer
Contributions:17 releases, 9 reviews, 430 commits in 5 years 9 months
Contributions summary:Aleksey contributed to the development of high-level geospatial data visualization library for Python. The contributions include pointplot and choropleth examples, including hue and legend support, as well as addressing bugs in the current system. The contributions, which focused on a range of plot types, including Voronoi, and showed a good understanding of geospatial data manipulation and visualization techniques.
Contributions:9 releases, 2 reviews, 160 commits in 6 years
Contributions summary:Aleksey's commits primarily focused on developing a missing data visualization module for Python, as indicated by the initial commit and the addition of code to produce visualizations. The user added the core plotting code, building the missingno module. The user played around with packaging and added the setup.py, indicating a focus on creating a reusable Python library.
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