Sean Mackrory
Software Engineer at LanceDB
Windsor, Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolSean Mackrory is a software engineer and seasoned technical leader with 13 years building high-performance, reliable systems for ML, HPC, and cloud storage. He has led engineering teams and product efforts at Determined AI (now part of HPE), designed distributed training and scheduler features, and shepherded a SaaS build through compliance and hiring. A long-time Apache committer and PMC member, he’s contributed operational and packaging improvements to widely used projects like Hadoop and Bigtop, wielding deep DevOps and deployment expertise. Sean gravitates toward extreme-performance and scientific/medical use cases and enjoys roles that mix hands-on engineering with organizational leadership. Based in Windsor, Colorado, he blends practical systems work—checkpointing, mixed-precision training, scheduler plugins—with a culture-first approach that values candor and responsibility. Colleagues describe him as a jack-of-all-trades who reliably helps teams scale both technology and processes.
13 years of coding experience
17 years of employment as a software developer
Bachelor of Science (B.S.) Information Technology, Bachelor of Science (B.S.) Information Technology at Brigham Young University
English, Spanish
Github Skills (34)
postgresql10
back-end-development10
apidoc10
scripting10
apache-hadoop10
configuration-management10
script10
go10
api10
sh10
shell10
devops10
api-design9
restful-api9
distributed-training9
Programming languages (11)
Github contributions (5)
determined-ai/determined
Sep 2020 - Nov 2022
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:399 reviews, 184 commits, 232 PRs in 2 years 2 months
Contributions summary:Sean implemented a new API call to retrieve experiment labels, modifying Go code related to API servers and database interactions. They fixed a potential syntax error in the API for experiment labels, improving the reliability of the endpoint. The user also made changes to the scheduler, preventing commands like TensorBoards and notebooks from being preempted, as well as addressing related bugs. These changes demonstrate a focus on API functionality and performance within the Determined AI platform.
pytorchdata-sciencedeep-learningdistributed-trainingmachine-learning
apache/bigtop
Mar 2013 - Oct 2013
Bigtop is an Apache Foundation project for Infrastructure Engineers and Data Scientists looking for comprehensive packaging, testing, and configuration of the leading open source big data components.
Role in this project:DevOps Engineer
DevOps EngineerContributions:28 commits in 7 months
Contributions summary:Sean's contributions primarily involve modifying build and deployment scripts, init scripts and configuration files for Apache Bigtop projects. They updated installation scripts for Sqoop 2, refactored init scripts for Hive and HBase, and improved the configuration for Solr and Oozie deployments within a Tomcat environment. Their work focused on standardizing service management using init script templates, addressing deployment issues, and ensuring consistent configurations across different Hadoop components.
javaapachebig-databigtop
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