Oleksandr Pryimak
Staff Software Enginer (ML Infra) at Thumbtack
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolOleksandr Pryimak is a Staff Software Engineer specializing in machine learning infrastructure with 15 years of experience building data-intense, production ML systems from Yandex and Criteo to Thumbtack in San Francisco. He architects and leads ML infra and MLOps initiatives—bootstrapping inference engines, integrating vendor tooling, and driving offline experimentation platforms that have measurably improved product engagement. A pragmatic tech lead and mentor, he’s hired and ramped teams while owning blue-green deployment pipelines, MLFlow/SageMaker integrations, and high-cardinality feature support at scale. He contributes to prominent open-source projects like XGBoost and has improved testing and backup tooling for large distributed systems, reflecting a strong reliability and observability focus. Trained at MIPT and Yandex School of Data Mining, he combines deep algorithmic roots with hands-on systems engineering to turn messy data into dependable ML production.
15 years of coding experience
14 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)Additional education math statistics data mining algorithms, Additional education math statistics data mining algorithms at Yandex School of Data Mining
Украинский, Английский, French
Github Skills (26)
xgboost10
pytest10
back-end-development10
cassandra10
python10
testing10
recovery10
cicd10
java10
javas10
backup10
backend10
c-language9
cmake9
aws9
Programming languages (9)
Github contributions (5)
dmlc/xgboost
Jun 2019 - Mar 2022
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:8 commits, 11 PRs, 165 comments in 2 years 9 months
Contributions summary:Oleksandr primarily focused on improving the testing infrastructure and documentation within the XGBoost repository. Their contributions include adding instructions for running tests locally, modifying test scripts, and updating documentation related to testing procedures. They also added optional dependencies to setup.py, and addressed Pandas-related test failures. The user was also involved in updating the documentation for the xgboost-spark project and ensuring that JVM tests clean up after themselves.
xgboostpythonflinkdaskdataflow
Netflix/Priam
Aug 2012 - Aug 2012
Co-Process for backup/recovery, Token Management, and Centralized Configuration management for Cassandra.
Role in this project:Backend Developer
Backend DeveloperContributions:11 commits in 14 days
Contributions summary:Oleksandr primarily focused on enhancing the Priam codebase, which is related to backup and recovery of Cassandra. Their contributions included adding error checking and output logging to the Cassandra start/stop processes, improving reliability and troubleshooting capabilities. Furthermore, the user added a backuper and restorer tool, demonstrating their focus on core functionality. Further work included adding an incremental backup tool and refactoring code for better initialization and shutdown.
cassandraconfiguration-managementtokentoken-managementrestore
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