Wyatt Alt is a Senior Software Engineer in San Francisco with 12 years building backend systems focused on databases, storage, and query engines. He has shipped petabyte-scale sensor data platforms at Cruise and worked on robotics and sensor data tooling at Foxglove, bringing practical experience with high-throughput, real-world telemetry. Early work on PuppetDB shows deep familiarity with centralized storage, messaging tuning, and operational configuration, and his open-source contributions include improving MCAP tooling for robotics and command-line clients in Go. Wyatt combines strong mathematical training from Reed College with hands-on DevOps and performance tuning skills, often touching both core database code and the deployment/configuration layer. Colleagues know him for solving tricky parsing and decompression edge cases and for pragmatic improvements that make large-scale data systems more reliable. He now applies that expertise to storage- and query-focused problems at LanceDB.
11 years of coding experience
11 years of employment as a software developer
Bachelor's degree Mathematics, Bachelor's degree Mathematics at Reed College
Contributions:772 commits, 548 PRs, 442 pushes in 3 years 6 months
Contributions summary:Wyatt primarily contributed to the PuppetDB database, focusing on the implementation of core database features. Their work involved enhancing ActiveMQ by allowing configuration changes and fixing performance issues related to structured facts. Furthermore, the user was involved in adding and enhancing support for new endpoints related to the database's functionality.
MCAP is a modular, performant, and serialization-agnostic container file format, useful for pub/sub and robotics applications.
Role in this project:
Full-stack Developer
Contributions:282 reviews, 124 commits, 270 PRs in 1 year 3 months
Contributions summary:Wyatt contributed code to the `foxglove/mcap` repository, which is a container file format for robotics and pub/sub applications. They implemented features related to handling empty MCAP chunks, improving the parsing of the format by addressing decompression errors. Additionally, the user added client code and a command-line tool for demonstrating the MCAP format in Go, which involved writing a new library and a tool for interacting with the file format. Furthermore, they added support for converting ROS2 db3 bagfiles into the MCAP format.
pythondataagnosticrobotics-applicationsperformant
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