Ilya Sytchev

Senior Software Engineer at Harvard T.H. Chan School of Public Health

Cambridge, Massachusetts, United States
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Summary

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Ilya Sytchev is a senior software engineer and research-focused developer based in Cambridge, MA, with over 14 years building scalable web and bioinformatics systems. He blends full-stack cloud engineering, DevOps and scientific software practices to deliver reproducible research platforms—from migrating genomic analysis tools between cloud providers to creating federated COVID-19 data prototypes. At Harvard he launched a software engineering service to help labs ship maintainable, well-tested scientific software and maintains Forest, an open-source Python library for high-throughput digital phenotyping. He has deep hands-on experience with bcbio-nextgen, contributing infrastructure and Docker-enabled provisioning to a widely used genomic analysis toolkit. Comfortable across Python, Django, Celery, PostgreSQL, AWS/GCP, and Terraform, he pairs research instincts with production-grade engineering to bridge academia and cloud-native operations.
code14 years of coding experience
job18 years of employment as a software developer
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at UMass Boston
bookMaster of Science - MS Bioinformatics, Master of Science - MS Bioinformatics at Northeastern University
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Github Skills (10)

bioinformatics10
sh10
script10
docker10
shell10
vagrant10
dockers10
scripting10
cicd9
python5

Programming languages (13)

CSSGoStanHTMLJupyter NotebookKotlinTypeScriptDockerfile

Github contributions (5)

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bcbio/bcbio-nextgen

May 2019 - Jan 2021

Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
Role in this project:
userDevOps Engineer
Contributions:87 commits, 43 PRs, 122 pushes in 1 year 7 months
Contributions summary:Ilya primarily focused on updating and maintaining the infrastructure and deployment aspects of the bcbio-nextgen repository. Their contributions included modifying the Vagrant setup for OS X, addressing issues related to sudo privileges and data installation. They also updated and cleaned up various modules including the trimming module in the WGBS seq pipeline, and adjusted the arguments for fastq.downsample(). Finally, the user enabled Docker provisioning within the Vagrant environment.
rna-seq
Contributions:14 commits, 1 PR, 4 pushes in 5 years 7 months
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