Michael Miller is a founder and software engineer with nine years of experience building creator-first products and production-grade infrastructure, currently based in Austin. He spent five years at Pixar developing animator tools, later moving into fintech at Plaid and now building Puffin Labs’ Videate to rethink video distribution for creators. Michael combines front-end cross-platform work (Flutter mobile apps) with deep back-end expertise—evident from contributions to Apache Accumulo and optimization work on the NSA DataWave ingest/query framework. He’s comfortable shipping end-to-end products, from sensors-driven golf analytics and map-based mobile apps to secure data-access systems, and he’s pragmatic about replacing brittle patterns with modern APIs. An entrepreneur at heart, he has a track record of turning creative, user-focused ideas into deployed apps and cloud services that help independent creators reach and monetize audiences.
9 years of coding experience
10 years of employment as a software developer
Web Development, Web Development at V School
Bonneville High School
Bachelor of Science (BS), Computer Engineering, Bachelor of Science (BS), Computer Engineering at Milwaukee School of Engineering
Contributions:747 reviews, 663 commits, 833 PRs in 6 years 5 months
Contributions summary:Michael appears to be a back-end developer, based on the code changes. They addressed a critical issue by restoring stack traces in visibility exceptions, fixed functional tests broken by the introduction of SecureRandom, and upgraded the FindBugs tool to Spotbugs. Additionally, they refactored crypto configuration settings for ease of use and implemented the renaming of crypto terms.
DataWave is an ingest/query framework that leverages Apache Accumulo to provide fast, secure data access.
Role in this project:
Back-end Developer
Contributions:16 commits, 13 PRs, 41 comments in 1 year 7 months
Contributions summary:Michael primarily focused on refactoring and optimizing code within the DataWave framework. Their contributions involved removing redundant operations, migrating code to utilize Accumulo API, and replacing deprecated features with newer API versions. They also updated exception handling and addressed code formatting inconsistencies. The user’s work indicates a strong understanding of the Accumulo data access and ingest/query framework.
querysecurebigdataaccumuloleverages
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