Adam Kiezun
Senior Staff Software Engineer at Meta
Boston, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolAdam Kiezun is a Senior Staff Software Engineer with two decades of experience building large-scale ML and GenAI systems, now contributing to Meta AI after leading GenAI integrations at Amazon Search. He has architected production-scale search intelligence, query understanding, and AI shopping assistants (Rufus) that serve hundreds of millions of customers, and he pairs that product impact with deep systems and NLP expertise. Earlier technical leadership at the Broad Institute includes steering GATK4 — a petabyte-scale, industry-standard genomics toolkit — and significant open-source contributions to bioinformatics libraries like htsjdk. Adam’s background spans distributed systems, ML at scale, and developer tooling (Eclipse refactoring, formal-methods work), enabling him to bridge research-grade algorithms and production engineering. He is known for applying AI not just to customer-facing experiences but to optimize the software development lifecycle itself, creating frameworks that accelerate engineering productivity.
11 years of coding experience
21 years of employment as a software developer
PhD Computer Science and Artificial Intelligence Laboratory, PhD Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of TechnologyMaster of Science Computer Science, Master of Science Computer Science at University of Warsawhigh school diploma computer science, high school diploma computer science at Czacki
Polish
Github Skills (17)
variants10
api-design10
command-line-interface10
java10
javas10
command-line-utility10
command-line10
command-line-tool10
java-api10
test-automation10
bam9
sam9
sequencing9
bioinformatics9
genomics9
Programming languages (3)
Github contributions (5)
broadinstitute/gatk
Dec 2014 - Jul 2016
Official code repository for GATK versions 4 and up
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:609 commits, 512 PRs, 1050 pushes in 1 year 7 months
Contributions summary:Adam was involved in the initial setup of the codebase, including command line tools and tests. They implemented a command-line tool for counting reads, adding to the base functionality of the project. Significant contributions were made in refactoring, adding tests and the initial porting of multiple of Picard tools (like FlagStat and BQSR functionality), demonstrating a strong understanding of the project's domain and a focus on improving its utility. The user also demonstrated a solid grasp of test automation to verify the tool's features.
genomesciencednaspark-mlngs
samtools/htsjdk
Apr 2015 - Jun 2016
A Java API for high-throughput sequencing data (HTS) formats.
Role in this project:Back-end Developer
Back-end DeveloperContributions:45 commits, 48 PRs, 78 pushes in 1 year 2 months
Contributions summary:Adam contributed to the Java API for high-throughput sequencing data (HTS) formats by fixing API interfaces and adding JavaDoc. They removed default implementations of FeatureCodec.canDecode to enforce implementations in concrete classes, enhancing the API's design and flexibility. The user also added test code coverage collection and reports, improving the project's quality assurance. Furthermore, they added an example program to help with reading SAM files and improved the codebase by closing opened streams.
sequencednabamcramsequencing-data
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