Michael Darr

AI Lead LV Architecture at Tesla

Palo Alto, California, United States
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Summary

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Senior
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Top School
Michael Darr is an AI and software engineering leader with 11 years of experience building production-grade systems and shipping ML solutions, currently leading LV Architecture for Tesla's AI organization in Palo Alto. He progressed from founding engineer at YC-backed 1build to senior engineering roles at Tesla, combining hands-on neural network deployment with system-level architecture and backend robustness. A TensorFlow practitioner who also contributes to prominent open-source projects like the pgx PostgreSQL Go driver, he focuses on reliability improvements such as timeout/error handling and protocol support that make infrastructure more resilient. Michael blends startup scrappiness with enterprise-scale rigor, having implemented core platforms, APIs, and integrations across diverse tech stacks. Based in Silicon Valley, he’s a Linux enthusiast and avid programmer who brings an engineer-first mindset to cross-disciplinary AI system design. An underrated strength is his history of shipping low-level robustness fixes (e.g., custom ErrTimeout semantics) that prevent subtle production failures.
code11 years of coding experience
job7 years of employment as a software developer
bookMaggie L Walker Governor's School
bookBachelor of Science (B.S.) Computer Science, Bachelor of Science (B.S.) Computer Science at William & Mary
languagesEnglish
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Stackoverflow

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1reputation
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Github Skills (6)

error-handling10
go10
postgresql10
concurrency9
context-api9
context-manager9

Programming languages (9)

TypeScriptC++CRustJavaScriptVueGoHTML

Github contributions (5)

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jackc/pgx

Jun 2021 - Jul 2021

PostgreSQL driver and toolkit for Go
Role in this project:
userBack-end Developer
Contributions:5 commits, 3 PRs, 8 comments in 14 days
Contributions summary:Michael primarily focused on improving error handling and timeout behavior within the PostgreSQL driver. They introduced a custom `ErrTimeout` type, refactored error wrapping for context timeouts, and simplified retry logic. Furthermore, the user also implemented support for time durations within the simple protocol of the driver. These changes enhance the driver's resilience and add support for additional data types.
drivergopostgresql
MichaelDarr/ahab

Jan 2020 - May 2020

Configure, launch, and work in Dockerized environments
Contributions:5 releases, 126 commits, 125 pushes in 4 months
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