Aleksei Statkevich
Member Of Technical Staff at xAI
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAleksei Statkevich is a seasoned engineering leader and hands-on software engineer with over a decade building high-throughput data platforms and distributed systems from early startups to hyperscale companies. He led critical ingestion and streaming efforts at TikTok and Snowflake—driving multi-tenant platforms that processed trillions of events or hundreds of billions of daily records while achieving 99.9%+ reliability and dramatic CPU efficiency gains. As a founding engineer at a self-driving startup he created language and execution models for ML-driven pipelines, and at Meta he authored a widely adopted Presto Thrift connector enabling external storage integrations. He contributes to Apache Hive with practical bug fixes around encoding and split generation, reflecting a focus on robustness and data correctness. Based in the San Francisco Bay Area, Aleksei blends deep systems engineering, team building, and product-minded architecture to turn research and prototypes into production at scale. Colleagues rely on him to tackle the hardest data-processing challenges and to translate them into measurable operational and business impact.
12 years of coding experience
16 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at Belarusian State UniversityDeep Learning Specialization (by Andrew Ng), Deep Learning Specialization (by Andrew Ng) at DeepLearning.AIBusiness Foundations Specialization, Business Foundations Specialization at The Wharton School
Github Skills (8)
javas10
big-data10
hive10
debug10
hadoop10
java10
data-processing9
sql9
Programming languages (4)
Github contributions (5)
apache/hive
Oct 2015 - Nov 2015
Apache Hive
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits in 1 month
Contributions summary:Aleksei primarily contributed to bug fixes and code improvements within the Apache Hive project. Their work involved addressing issues related to non-ASCII characters in string literals, ensuring proper handling of character encoding. The user also fixed a comparison bug within the HiveSplitGenerator, and removed deprecated HadoopShims methods. These changes demonstrate a focus on code quality, data processing, and performance enhancements within the Hive codebase.
flinksqlapachebig-dataspark
AlekseiS/presto
Aug 2016 - Feb 2019
Distributed SQL query engine for big data
Contributions:521 pushes, 89 branches in 2 years 6 months
queryhbasequery-enginenosqlmysql
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