Brandon Leblanc is a Staff Software Engineer with 14 years building reliable, scalable systems across cloud and production infrastructure, currently focused at Ava Labs in Seattle. He brings deep production engineering experience from Meta (cloud gaming and metaverse infrastructure) and AWS, plus hands-on ops and automation work from Platform.sh managing thousands of hosts. A polyglot who prefers Python, Go, and Rust, he’s an active open-source contributor—work on projects like the Textual IRC client and MusicBrainz reveals a knack for robustness, backend performance, and pragmatic UX fixes. Brandon blends developer advocacy and on-call rigor, with a track record of reducing floods, tightening vote/DB logic, and shipping tooling that improves team efficiency. Formerly a director-level engineering manager, he pairs technical depth with experience leading distributed teams and cross-functional stakeholder engagement. He’s pragmatic about style (formatters over flamewars) and focused on measurable reliability improvements rather than theoretical perfection.
14 years of coding experience
9 years of employment as a software developer
Computer Science Mathematics Business, Computer Science Mathematics Business at University of Louisiana at Lafayette
Contributions summary:Brandon refactored the message queue system to better handle potential flood events within the IRC client, indicating a focus on improving the backend's robustness and performance. They also implemented a server-specific away nickname feature, enhancing user customization and connection settings. Furthermore, the user made several UI and UX improvements, including the correct handling of swipe gestures and the management of text view context menu preferences.
Server for the MusicBrainz project (website, API, database tools)
Role in this project:
Back-end Developer
Contributions:19 commits in 4 months
Contributions summary:Brandon primarily contributed to back-end logic and database interactions within the MusicBrainz server project. Their work involved fixing bugs related to vote statistics and auto-editor approvals. They also added features like approve vote statistics and implemented changes to edit statuses. Furthermore, the user modified database queries and updated the application's data models related to votes.
database-toolsmusicbrainzperlcatalystjavascript
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