Michael Gummelt is a Staff Production Engineer and founder with 12 years of experience building distributed systems, low-code tooling, and large-scale infrastructure. He founded Plato, a Typescript-based low-code platform that raised $2.3M and closed multiple five-figure deals, and has deep production experience migrating thousands of services and hosts at scale. His open-source contributions to Apache Spark’s Mesos integration reflect hands-on expertise in containerization, networking (CNI), and deployment infrastructure for clusters of 1,000+ nodes. At X he led a team to automate a company-wide CentOS migration and improve container scheduling performance, and he now applies that operational rigor at Meta. Combining product instincts from founding startups with systems-level engineering, he’s comfortable shipping both developer-facing platforms and mission-critical backend infrastructure.
12 years of coding experience
11 years of employment as a software developer
Master's degree Computer Science, Master's degree Computer Science at Stanford University
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:41 PRs, 552 comments in 1 year 9 months
Contributions summary:Michael primarily contributed to the Apache Spark Mesos integration, focusing on the back-end components and deployment infrastructure. Their work included bug fixes and enhancements related to Mesos ZK persistence, executor sizing, and the unified containerizer. They also implemented features like environment variable support for the driver and the integration of CNI networking. These contributions demonstrate a deep understanding of Mesos and Spark's internal workings, along with expertise in deployment and containerization.
Contributions:16 PRs, 57 pushes, 15 branches in 1 year
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