Alex Klibisz
Staff Distributed Systems Engineer at Tesla
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAlex Klibisz is a Staff Distributed Systems Engineer in San Francisco with 11 years of experience building and optimizing data pipelines and cloud-native web services using Scala and Python on AWS and Kubernetes. At Tesla he designs production services that manage metadata, provisioning, and virtual power plant enrollment for energy assets, and he builds internal libraries and tooling to scale those systems. He has a strong ML/MLops background—shipping image and language processing, similarity search, and deep-learning integrations—and maintains the Elastiknn project used for large-scale nearest-neighbor search. An active open-source contributor, he’s improved core tooling like scala-steward and the elastic4s Scala client, focusing on reliability, backwards compatibility, and test coverage. He enjoys turning research prototypes into robust, production-ready systems, and brings a practical emphasis on observability and developer ergonomics to complex distributed domains.
11 years of coding experience
13 years of employment as a software developer
BS, Computer Science, BS, Computer Science at University of Tennessee-Knoxville
English, German, Polish
Stackoverflow
1,323reputation
1.6mreached
19answers
9questions
firebase
top-5%
database
top-5%
Github Skills (39)
dependency-manager10
dependency-management10
benchmark10
docker10
python10
dependency-analysis10
nearest-neighbors10
testing10
amazon-elasticsearch10
http10
sbt10
benchmarking10
dockers10
scala10
elasticsearchquery10
Programming languages (16)
Github contributions (5)
erikbern/ann-benchmarks
Sep 2020 - Jul 2022
Benchmarks of approximate nearest neighbor libraries in Python
Role in this project:
MLOps Engineer
MLOps EngineerContributions:2 reviews, 24 commits, 17 PRs in 1 year 10 months
Contributions summary:Alex contributed to the project by implementing and optimizing approximate nearest neighbor algorithms, specifically focusing on the Elastiknn library. They worked on integrating Elastiknn with the benchmarking framework, added features for early stopping and throughput monitoring, and addressed performance issues. The user also updated the CI workflow and improved logging within the system.
pythonnearest-neighbornearestdockerbenchmark
scala-steward-org/scala-steward
Apr 2020 - Jan 2023
:robot: A bot that helps you keep your projects up-to-date
Role in this project:Back-end Developer
Back-end DeveloperContributions:2 reviews, 9 commits, 7 PRs in 2 years 8 months
Contributions summary:Alex contributed to the core logic of the scala-steward bot, focusing on version management and dependency updates. They added a "FEAT" identifier to pre-release versions, implemented logging for update failures, and fixed issues related to dependency version handling in sbt projects. The user's commits also included test case additions and corrections to ensure accurate version comparisons and dependency updates. The user's work directly addressed specific issues within the project and enhanced the bot's core functionality.
scala-cliazure-reposdependenciesupdate-servicemaven
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