Chris Abajian
Software Engineer at Allen Institute for Brain Science
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolChris Abajian was a seasoned software engineer with 15+ years designing and shipping high-throughput, lab-focused and media-scale systems from startups to research institutes. His career bridged molecular-biology LIMS, microscopy image formats and genomic data reconciliation to large-scale streaming media indexing and distributed workflow architectures, reflecting deep full-stack experience across Ruby, Java, C++, Python and JavaScript. At the Allen Institute he built Rails LIMS, QC pipelines and data importers for public genetic resources; earlier roles included architecting a 20M-URL media search backend and founding a biotech-focused software startup. Comfortable across databases (Postgres, Oracle, SQLite), version control systems and agile teams, he routinely translated complex experimental protocols into reliable, automated workflows. An active contributor to the AllenSDK back end, his work touched behavioral-data synchronization and core file formats—an indicator of his pragmatic focus on reproducible data processing. Colleagues knew him for solving hard problems quickly and for combining scientific domain fluency with production-grade engineering.
15 years of coding experience
12 years of employment as a software developer
B.A., B.A. at Wesleyan University
Github Skills (8)
pandas10
python10
data-processing10
bioinformatics9
file-handling9
data-structures8
testing8
data-structure8
Programming languages (7)
Github contributions (5)
AllenInstitute/AllenSDK
Feb 2022 - Jan 2023
code for reading and processing Allen Institute for Brain Science data
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 189 reviews, 95 commits in 11 months
Contributions summary:Chris primarily contributed to the `allensdk` repository by modifying code related to the Allen Institute for Brain Science data processing. The commits indicate a focus on updating release notes, versioning, and implementing functionality for analyzing and processing behavioral data, specifically related to lick detection and synchronizing different data streams. Furthermore, the user also made changes to internal core data file handling, the test suite, and updates to data object file formats.
brainneurosciencepythonscienceneuroimaging
ryanscranton/astro-stomp
Aug 2010 - Oct 2013
Contributions:106 commits in 3 years 2 months
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