Ian Hummel
Product at Millennium
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolIan Hummel is a product and technology leader with over a decade of experience building data-driven platforms and ML infrastructure, currently leading Product at Millennium in New York. Previously he led BQuant at Bloomberg from prototype to a revenue-generating, enterprise data science platform used by tens of thousands of institutional clients, and he built the AI/ML infrastructure that powers Bloomberg’s specialized financial language models. He combines hands-on engineering chops—evidenced by open-source contributions to high-profile projects like Twitter’s hadoop-lzo and Scalding—with senior product leadership across analytics, reporting, and cloud-connected workflows. Ian’s background blends an MBA from INSEAD with a BA in Computer Science and Mathematics, giving him fluency in strategy, data science, and systems design. He’s comfortable driving cross-functional teams through technical complexity to client outcomes and has a track record of shipping AI-powered tooling and scalable GPU-backed platforms. A less obvious strength is his history of low-level backend fixes and serialization/classloader work, showing he still dives into the code to solve concurrency and deployment pain points.
12 years of coding experience
8 years of employment as a software developer
MBA, Marketing and Strategy, MBA, Marketing and Strategy at INSEADBA, Computer Science and Mathematics, BA, Computer Science and Mathematics at Boston University
Github Skills (14)
compression-algorithm10
scala10
javas10
lzo10
data-serialization10
cascading10
hadoop10
data-pipelines10
data-pipeline10
kryo10
java10
serialization10
testing9
resource-management9
Programming languages (9)
Github contributions (5)
twitter/hadoop-lzo
Nov 2014 - Dec 2014
Refactored version of code.google.com/hadoop-gpl-compression for hadoop 0.20
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits in 12 days
Contributions summary:Ian contributed to the `hadoop-lzo` repository by fixing bugs and refactoring code related to the LZO compression and decompression process within the Hadoop ecosystem. The user's work focused on addressing resource management issues, ensuring that compressors and decompressors were correctly handled in the codec pool to prevent potential race conditions and resource leaks. Their changes involved code modifications within core compression/decompression classes. They also addressed import inconsistencies and incorporated feedback.
gplhadoopcompressionrefactored
twitter/scalding
Jan 2014 - Jan 2014
A Scala API for Cascading
Role in this project:Backend Developer
Backend DeveloperContributions:5 commits in 4 days
Contributions summary:Ian primarily contributed to the core functionality of the Scalding library. Their commits focused on improving class loading and serialization mechanisms within the framework, using the thread's context class loader to enhance the ability to use the tool without fat jars. The user also made multiple contributions related to typed pipe operations, including adding filterKeys and other improvements to the typed core components of the library. Additionally, the user implemented configuration updates and modifications to testing infrastructure.
apiscalafs2cascadingscala-native
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