Homer Strong
Senior Applied Scientist at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolHomer Strong is a Senior Applied Scientist based in Seattle with 15 years of experience building production-scale machine learning and statistics systems that help people. He blends hands-on engineering—architecting streaming platforms with Kafka and Storm and contributing backend fixes to high-profile open-source projects like Apache Storm—with applied data science work at Amazon and Cylance. Homer has led teams and product-facing science initiatives, including founding a text analytics startup acquired by Twitter, and has deep roots in statistical engineering from graduate study in statistics. Notably, his open-source contributions include practical robustness improvements to Storm’s log viewer and to data-frame handling in R’s plyr, reflecting a focus on reliable tooling and observability.
15 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (BA) Mathematics, Bachelor of Arts (BA) Mathematics at Reed CollegeMathematics, Mathematics at Budapest Semesters in MathematicsUniversity of California, Irvine
Stackoverflow
238reputation
5kreached
12answers
1question
Github Skills (27)
storm10
back-end-development10
clojure-cli10
r10
data-manipulation10
configuration-management10
distributed-systems10
apache10
java10
clojure10
javas10
logging10
testing9
fileio9
file-access9
Programming languages (8)
Github contributions (5)
nathanmarz/storm
Jun 2013 - Oct 2013
Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 commits in 3 months
Contributions summary:Homer primarily contributed to the back-end functionality of the Storm project, specifically focusing on the log viewer component. They implemented features related to configuring and locating log directories within the system. These changes involved modifying existing configurations, integrating with the logging framework, and ensuring the log viewer could correctly identify and display log files, adding also necessary configuration settings for DRPC. Their work also involved path construction methods and error handling.
computationfault-tolerantrealtimerpcstream-processing
apache/storm
Jul 2014 - Nov 2014
Apache Storm
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 commits in 3 months
Contributions summary:Homer primarily focused on improving the Storm log viewer and related configuration aspects. Their work involved adding configuration options for DRPC and the log viewer, implementing logic to locate the log directory via the application configuration, and refactoring code to use more robust file path constructions. Additionally, the user added a util function for handling hostname retrieval, improving consistency in reporting metrics and errors within the Storm daemons. These modifications demonstrate a focus on improving system logging, configuration, and overall robustness.
apachebig-datastormjavaapache-storm
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