James Jeffryes
Principal Software Engineer at Lila Sciences
Baltimore, Maryland, United States
Summary
👤
Senior🎓
Top SchoolJames Jeffryes is a Principal Software Engineer with 11 years of experience building reliable, production-grade systems across logistics, biotech, and manufacturing domains. He has led architecture and delivery work—designing Go microservices, Terraform-provisioned Kubernetes, and observability stacks—while driving developer experience and best practices in testing and deployment. His background in chemical engineering and bioinformatics enables him to bridge scientific requirements and software pragmatism, evidenced by contributions to the well-known Biopython project focused on robust test automation. Based in Baltimore, he excels at turning research-grade tools into maintainable, auditable services and has a knack for hardening industrial control systems toward cybersecurity compliance.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Chemical Engineering, Doctor of Philosophy (Ph.D.) Chemical Engineering at Northwestern UniversityBS Chemical Engineering Biochemistry and Molecular Biology, BS Chemical Engineering Biochemistry and Molecular Biology at Rose-Hulman Institute of Technology
Github Skills (6)
unit-testing10
bioinformatics10
biopython10
python10
test-automation10
testing10
Programming languages (10)
Github contributions (5)
biopython/biopython
Jan 2018 - Jan 2018
Official git repository for Biopython (originally converted from CVS)
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:5 commits, 1 PR, 6 comments in 1 day
Contributions summary:James primarily contributed to the testing aspects of the Biopython project. Their work focused on writing and updating tests for the `SeqFeature` module, ensuring that the codebase functions correctly under various conditions. The commits demonstrate a focus on identifying and fixing potential issues, particularly related to edge cases and boundary conditions, as well as ensuring compatibility with older versions. This work improved the overall reliability and robustness of the bioinformatics library.
biopythonpythonbioinformaticsgenomicsprotein
JamesJeffryes/MINE-API
May 2015 - Sep 2019
Contributions:12 commits, 10 pushes, 2 branches in 4 years 5 months
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