Aidan Gomar is a backend-focused software engineer with five years of experience building data and infrastructure systems across startups and large companies in the Bay Area. He’s worked on production infra and data platforms at Ideogram and LanceDB (YC W22) and recently contributes to developer-friendly vector DB tooling—extending the LanceDB Node.js remote API for schema, pagination, and index management. Comfortable in fast-moving environments, he’s handled performance-sensitive fixes such as index cache tuning and has hands-on billing and infra experience from a short stint at Amazon. Based in San Francisco and a McGill CS graduate, he favors efficient, keyboard-driven workflows (nvim, tmux) and brings pragmatic, performance-minded engineering to distributed data problems.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at McGill University
Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
Role in this project:
Back-end Developer
Contributions:10 reviews, 7 PRs, 13 pushes in 1 month
Contributions summary:Aidan primarily focused on developing and extending the remote API for the LanceDB Node.js client. Their contributions included implementing table schema retrieval, table listing with pagination, and index creation functionality. They also addressed a bug related to the index cache size, demonstrating an understanding of the system's performance and configuration. The user interacted heavily with remote table management within the Node.js environment.
Go implementation of the bitcask storage engine (https://riak.com/assets/bitcask-intro.pdf) used in Riak KV
Contributions:4 PRs, 15 pushes, 3 branches in 10 months
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Aidan Gomar - Member Of Technical Staff at Black Forest Labs