Bryan Silverthorn

Director, Applied Science, AGI Autonomy at Amazon

San Francisco, California, United States
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Summary

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Senior
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Bryan Silverthorn is a senior AI and engineering leader with 16 years of experience, currently directing Applied Science for AGI Autonomy at Amazon after the Adept acquisition. He combines deep research credentials (PhD from UT Austin) with hands-on product and systems experience from cofounding and scaling Angaza into a multimillion-user SaaS fintech for energy access. Bryan has led teams across ML, backend, firmware, and cloud infrastructure, driving durable, high-uptime platforms and introducing ML features that influenced company strategy. His background includes competitive research wins in neural approaches to discrete optimization and early work on autonomous robotics, signaling a long-standing focus on autonomy and decision-making systems. An active pragmatic engineer, he has contributed to open-source tooling such as csvkit by improving compressed-file support and testability, reflecting attention to quality and real-world data workflows. Based in San Francisco, he blends academic rigor with startup grit to translate advanced models into scalable, mission-driven products.
code16 years of coding experience
job17 years of employment as a software developer
bookDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
bookBachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Cornell University
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Stackoverflow

Stats
85reputation
5kreached
0answers
3questions
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Github Skills (16)

file-handling10
command-line-interface10
csv10
python10
csv-parser10
command-line10
cli10
testing9
amazon-redshift6
monitoring6
orm6
transaction6
time-series6
sql6
sqlalchemy6

Programming languages (7)

JavaC++CJavaScriptGoHTMLPython

Github contributions (5)

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wireservice/csvkit

Jun 2011 - Jul 2011

Role in this project:
userBack-end Developer
Contributions:11 commits in 13 days
Contributions summary:Bryan primarily focused on enhancing the functionality of the `csvkit` tool. Their contributions involved adding support for compressed file formats (gzip and bz2) to improve input flexibility. They also refactored and improved the utility scripts by integrating the `CSVStack` class, enabling better testing. Additionally, the user added tests for the `csvstack` utility demonstrating their commitment to quality and testability.
csvcsv-readerfile-formatscsv-importconverting
More web than log
Contributions:18 PRs, 75 pushes, 20 branches in 2 years 4 months
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Bryan Silverthorn - Director, Applied Science, AGI Autonomy at Amazon