Andrey Kislyuk
San Francisco, California, United States
Summary
🤩
RockstarAndrey Kislyuk is a Member of Technical Staff at OpenAI and founder of Exascale Biosystems with a PhD in bioinformatics and 14 years of hands-on industry experience building AI/ML and genomics software. He combines deep domain expertise in genomics with production-grade engineering, having led architecture and principal engineering roles at Color and the Chan Zuckerberg Initiative and directed software architecture at DNAnexus. A prolific open-source contributor, Andrey has improved tooling used by many developers—contributions include argcomplete, yq, moto, and a CloudWatch logging handler—demonstrating both backend systems chops and developer-experience focus. He is equally comfortable authoring robust test suites and designing APIs as he is founding a startup to translate sequencing advances into practical products. Based in San Francisco, he brings a research-rooted rigor to shipping reliable, scalable systems at the intersection of biology and machine learning.
14 years of coding experience
Stackoverflow
1,910reputation
153kreached
15answers
1question
argparse
top-5%
python
top-5%
Github Skills (39)
docker10
boto10
batching10
python10
testing10
command-line-interface10
bash10
dockers10
argparse10
lambdas10
aws10
read-me10
command-line10
yaml10
xml10
Programming languages (18)
Github contributions (5)
kislyuk/yq
Jan 2017 - Jan 2023
Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:49 releases, 1 review, 214 commits in 6 years 1 month
Contributions summary:Andrey primarily contributed to the documentation and features of the yq project, which is a command-line tool for processing YAML, XML, and TOML documents. They fixed documentation issues and added features like the round-trip YAML support by implementing the necessary JSON transcoding to YAML and vice versa and by including features such as supporting explicit doc markers and preserving tags and styles in the documents. Additionally, they implemented and expanded the test suite, and incorporated argument parsing improvements, ensuring the tool correctly handles various jq arguments and options.
command-linejqtomlxmlyaml
kislyuk/watchtower
Apr 2015 - Mar 2022
Python CloudWatch Logging: Log Analytics and Application Intelligence
Role in this project:Back-end Developer
Back-end DeveloperContributions:35 releases, 13 reviews, 187 commits in 6 years 11 months
Contributions summary:Andrey contributed to the initial setup and development of the pycwl package, creating a log handler for AWS CloudWatch Logs. Their work included the creation of `README.rst`, `setup.py`, and basic implementation of the logging handler within `__init__.py`. The user also focused on the test setup, and configuration of the handler to be used within a project. Further contributions involved the implementation of functionalities to support a queue for managing the messages.
cloudwatchloggingpythonawsaws-cloudwatch-logs
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