Adam Amster
Software Engineer III at Allen Institute for Brain Science
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolAdam Amster is a Software Engineer III in Atlanta with 11 years of experience blending data science and software engineering to deliver production-grade ML pipelines and research-focused data tooling. He has shipped end-to-end machine learning systems—from feature engineering and prototyping to deployment and performance testing—at companies like IDology and the Allen Institute, where his contributions improved neuroscience data pipelines and ROI labeling throughput by an order of magnitude. Comfortable across Python, SQL and JavaScript, he pairs deep learning work (PyTorch) with robust backend and data-engineering skills, touching core data structures in prominent open-source projects such as the AllenSDK. His MS in Analytics from Georgia Tech complements a pragmatic engineering background, enabling him to translate messy experimental data into reliable, scalable analytics products.
11 years of coding experience
8 years of employment as a software developer
Master of Science (MS), Analytics, Master of Science (MS), Analytics at Georgia Institute of TechnologyBachelor of Science (BS), Computer Science, 3.88, Bachelor of Science (BS), Computer Science, 3.88 at Kennesaw State University
English
Github Skills (5)
data-wrangling10
pandas10
data-pipeline10
python10
data-analysis10
Programming languages (8)
Github contributions (5)
AllenInstitute/AllenSDK
Jan 2021 - Jan 2023
code for reading and processing Allen Institute for Brain Science data
Role in this project:
Backend & Data Engineer
Backend & Data EngineerContributions:11 releases, 398 reviews, 1013 commits in 2 years
Contributions summary:Adam's commits primarily focused on modifying stimulus presentation tables and data extraction from the behavior stimulus pickle files. They improved the handling of data, addressing issues related to timestamps and the inclusion of fingerprint stimuli, which improved data consistency. Their work involved the addition of new columns, the renaming of existing columns, and restructuring tables, which helped to streamline data organization and processing in the context of the project. The user's code touches the core of the project's data pipeline by modifying key data structures used in the analysis.
brainneurosciencepythonscienceneuroimaging
aamster/parsing_graphs
Apr 2023 - Sep 2023
Contributions:184 pushes in 4 months
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