Michael Froh
Senior Staff Software Engineer at Uber
Redmond, Washington, United States
Summary
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Rockstar🎓
Top SchoolMichael Froh is a Senior Staff Software Engineer with over 18 years of professional experience and deep expertise in search technologies, functional programming, and distributed systems. He has progressed from research programming in medical imaging to leadership roles including CTO and Principal Engineer at Amazon, where he spent years improving Lucene-backed search services and now actively contributes to OpenSearch. Michael combines hands-on kernel-level improvements (notably contributions to Apache Lucene such as selective merging and encoding fixes) with team leadership and operational experience shipping large-scale search infrastructure. Trained as a mathematician (MMath, University of Waterloo) and briefly a PhD candidate in Medical Biophysics, he brings analytical rigor and a penchant for practical engineering over academic polish. Based in Redmond, he prefers thoughtful, permissioned professional connections and maintains a public GitHub where his real-time OpenSearch work is visible.
14 years of coding experience
19 years of employment as a software developer
PhD Medical Biophysics, PhD Medical Biophysics at University of TorontoMMath Combinatorics & Optimization, MMath Combinatorics & Optimization at University of Waterloo
English, French, Romanian
Stackoverflow
1reputation
0reached
0answers
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Github Skills (12)
lucene10
javas10
search-engine10
information-retrieval10
backend10
indexing10
java10
testing9
algorithms8
data-structures8
algorithm8
data-structure8
Programming languages (9)
Github contributions (5)
apache/lucene
Dec 2021 - Mar 2025
Apache Lucene open-source search software
Role in this project:
Back-end Developer
Back-end DeveloperContributions:50 reviews, 16 PRs, 121 comments in 3 years 4 months
Contributions summary:Michael contributed to the core functionality of the Apache Lucene search library, focusing on improvements to indexing, merging, and data handling. They implemented features like selective merging on commit, which optimizes the merging process. Furthermore, the user addressed intermittent test failures and fixed UTF-8 and hexadecimal encoding issues. They also worked on taxonomy array splitting.
nosqlfulltext-searchsolrapachesearch-engine
msfroh/search-processor
Nov 2022 - Jan 2024
Search Request Processor: pipeline for transformation of queries and results inline with a search request.
Contributions:1 release, 41 pushes, 31 branches in 1 year 2 months
transformationpipelinepipeline-processorsearch-engineinline
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