Alexander Kuzmenkov
Core Database Developer
Yerevan, Armenia
Summary
🤩
Rockstar🎓
Top School
Top expert inDistributed Database Technologies and Analytics Platforms
Alexander Kuzmenkov is a core database developer with seven years of focused experience building high-performance analytical systems and a longer history in C++-based distributed and device software. Currently at Timescale and previously a core contributor at ClickHouse and Postgres Professional, he implemented window function support, created per-commit performance testing and a query fuzzer that uncovered hundreds of bugs, and drove CI/QA and release workflows. His open-source work on ByConity and ClickHouse emphasizes efficient, correct window function execution and query stability, reflecting deep expertise in query planning and performance optimization. Alexander pairs hands-on low-level implementation skills with process improvements—introducing git workflows, backporting practices and changelog generation—to make teams more productive. Based in Yerevan, he combines a physics education from MSU with a practical bent for debugging complex distributed query behavior. An uncommon strength is his track record of turning performance analysis into automated safeguards that prevent regressions before they reach users.
7 years of coding experience
12 years of employment as a software developer
fisica, fisica at Московский Государственный Университет им. М.В. Ломоносова (МГУ)
Russian, English, Spanish
Github Skills (9)
c-language10
window-functions10
cprogramming-language10
performance-optimization10
decimal9
decimals9
decimal-numbers9
bigdecimal9
sql8
Programming languages (8)
Github contributions (5)
ByConity/ByConity
Mar 2021 - Jul 2021
ByConity is an open source cloud data warehouse
Role in this project:
Back-end Developer
Back-end DeveloperContributions:296 commits in 3 months
Contributions summary:Alexander primarily focused on enhancing the window function implementation within the ByConity repository. They addressed several aspects including performance improvements, added checks for valid window frame offsets, and corrected formatting issues related to the `negate()` function, which included fixes for decimal values. These commits indicate a focus on improving the efficiency and correctness of analytical query processing, with a specific emphasis on features related to windowing.
datawarehousewarehousedbmsolapclickhouse
akuzm/timescaledb
Oct 2021 - Mar 2025
An open-source time-series SQL database optimized for fast ingest and complex queries. Packaged as a PostgreSQL extension.
Contributions:35 PRs, 2332 pushes, 441 branches in 3 years 6 months
postgresql-extensionsql-databasesqltimeseries-databasetimescaledb
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