Alexey Kolesnikov
SWE at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlexey Kolesnikov is a software engineer with 10+ years of experience building back-end systems and pipelines for large-scale products, currently contributing to Google Health’s Brain Genomics team from Mountain View. He has a strong background in genomics tooling and production infrastructure—evidenced by contributions to DeepVariant where he improved pipeline reliability, versioning, and SAM/BAM quality-score handling. Prior roles at Complete Genomics, Yahoo, Oracle and DigitalPersona reflect deep expertise in systems engineering, data processing and DevOps. Alexey combines pragmatic code maintenance with an eye for reproducible scientific pipelines, often focusing on small but impactful refactors and logging improvements that ease operations and releases. He holds an MS in Computer Science from Belarus State University and brings a steady record of shipping robust, production-ready solutions in genomics and geodata domains.
10 years of coding experience
16 years of employment as a software developer
MSCS, MSCS at Belarusian State UniversityMS, Computer Science, MS, Computer Science at Belarus State University
English, Russian
Github Skills (9)
python10
cprogramming-language9
c-language9
tensorflow8
devops7
version-control6
deep-learning5
deeplearning-ai5
bioinformatics5
Programming languages (2)
Github contributions (5)
google/deepvariant
Aug 2018 - May 2022
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:2 releases, 131 commits, 5 pushes in 3 years 10 months
Contributions summary:Alexey refactored `SamReaderItrable` classes to eliminate duplicate code in the `google/deepvariant` repository. They changed the TensorFlow version for pod configuration from 1.9 to 1.11, and saved logs from the hap.py stage to a separate file. Additionally, the user implemented support for reading quality scores from the "OQ" tag in SAM/BAM files and updated script-related changes for a v0.7.2 release. These contributions indicate a focus on code maintenance, pipeline improvements, and version management within the project.
genomedeepvariantdnabioinformaticstensorflow
Biocodings/deepvariant
Sep 2018 - Sep 2018
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Contributions:3 commits in 1 day
dna-sequencinganalysis-pipelinenext-generationpipelinedeepvariant
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