Alexander Rodionov
Lead Software Engineer C Embeded at GlobalLogic
San Clemente, California, United States
Summary
👤
Senior🎓
Top SchoolAlexander Rodionov is a Lead Software Engineer specializing in C/C++ and embedded systems with over a decade of hands-on experience building firmware, system-level software, and cross-platform desktop solutions. He has led teams and projects from architecture through delivery, porting database servers to 64-bit Windows, resolving complex customer issues, and coordinating hardware–software integration for device development. His radiophysics and electronics master's gives him uncommon depth in digital signal processing and hardware design, which he applies to telecommunications and multimedia projects. Comfortable across C#, JavaScript, Java and SQL, he blends low-level engineering with user-facing UI and database concerns. An active contributor to recommender-system tooling on GitHub, he also pursues AI, audio DSP and creative multimedia work—reflecting a practical mix of systems engineering and creative product instincts. Based in San Clemente, he combines rapid technology ramp-up with a knack for designing elegant, previously unattempted architectural solutions.
11 years of coding experience
8 years of employment as a software developer
Master's degree of Radiophysics & Electronics, Physics and Electronics, Master's degree of Radiophysics & Electronics, Physics and Electronics at Belarusian State University
English, Russian
Stackoverflow
775reputation
112kreached
5answers
5questions
Github Skills (18)
recommendation-engine10
recommendation-system10
python10
data-science10
machine-learning10
recommender-system10
jupyter-notebook10
recommender10
spark9
async-await6
docker6
pyspark6
environment-variables6
django6
git6
Programming languages (15)
Github contributions (5)
recommenders-team/recommenders
Apr 2019 - Apr 2019
Best Practices on Recommendation Systems
Role in this project:
Data Scientist
Data ScientistContributions:6 commits, 2 PRs, 3 comments in 1 day
Contributions summary:Alexander's primary contributions focus on modifying the `als_movielens.ipynb` notebook, removing the alpha parameter from the ALS (Alternating Least Squares) model. They also improved code readability within the `spark_evaluation.py` file, specifically by making the `collect_set` function more understandable and fixing a string name. This indicates a focus on model tuning and evaluation practices within a recommender systems context.
recommendation-systemspythonjupyter-notebookoperationalizationmicrosoft
tandav/vsu-tasks
Oct 2016 - Dec 2022
Contributions:2 PRs, 104 pushes, 17 branches in 6 years 3 months
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