Michael Blume is a versatile software engineer based in Berkeley with 16 years of experience building backend systems, developer tooling, and research-oriented software across startups and non-profits. He has practical expertise in Python, C++, Linux/macOS system administration, and web stacks (Django, JS, HTML/CSS), and has applied that toolset at companies like The Climate Corporation and Loggly as well as at the Machine Intelligence Research Institute. An active contributor to open-source, he improved core functionality and added CTE support to the well-regarded HoneySQL project, demonstrating attention to protocol design and performance. Michael pairs hands-on engineering with analytical skills from a physics background—he’s produced economic-growth models for AI research and has experience in grant writing, instruction, and technical support. Colleagues benefit from his blend of practical system-level problem solving and clear written communication.
16 years of coding experience
6 years of employment as a software developer
University of California, Santa Barbara
Bachelor of Science, Physics, Bachelor of Science, Physics at University of California, Irvine
Contributions:155 commits, 104 PRs, 110 pushes in 3 years 3 months
Contributions summary:Michael primarily contributed to the HoneySQL project by implementing and improving its core functionality. Their work involved refactoring code to avoid naming collisions, extending the `ToSql` protocol to handle Java `Object`, and optimizing performance. They also upgraded dependencies and added test cases. Furthermore, the user worked on extending features of the project such as support for Common Table Expressions (CTEs).
Contributions:26 commits, 9 pushes, 1 branch in 5 years 1 month
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