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.
16 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Texas at Austin
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Cornell University
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.
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