Daniel Halperin
Principal Applied Scientist at Amazon Web Services (AWS)
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolDaniel Halperin is a Principal Applied Scientist at AWS with 26 years of experience designing and shipping scalable network and data systems. He blends research-grade rigor (PhD in Computer Science from University of Washington) with hands-on engineering leadership, having led engineering at Intentionet and driven teams at Google and AWS. His open-source contributions include significant work on Batfish, a well-regarded network configuration analysis tool, plus improvements to Apache Beam, ANTLR, and Google Cloud Dataflow tooling. Daniel’s track record spans embedded wireless driver fixes to cloud-scale pipeline reliability, showing a rare ability to move between low-level systems and large distributed architectures. Based in Seattle, he focuses on network safety and verification at AWS, applying formal analysis and robust testing practices to reduce outages and security risk. Colleagues value him for combining deep technical breadth with pragmatic product and team leadership.
26 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Engineering, Doctor of Philosophy - PhD Computer Science and Engineering at University of WashingtonBachelor of Science - BS Computer Science Mathematics, Bachelor of Science - BS Computer Science Mathematics at Harvey Mudd CollegeMontgomery Blair High School
Stackoverflow
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Github Skills (32)
network-analysis10
testing10
configuration-management10
wireless10
google-cloud-dataflow10
c1110
java10
c1710
grammar10
javas10
grammars10
driver10
parser-generator10
configuration-file10
antlr10
Programming languages (19)
Github contributions (5)
batfish/batfish
Feb 2018 - Jan 2023
Batfish is a network configuration analysis tool that can find bugs and guarantee the correctness of (planned or current) network configurations. It enables network engineers to rapidly and safely evolve their network, without fear of outages or security breaches.
Role in this project:
Backend Developer
Backend DeveloperContributions:30 releases, 2249 reviews, 52 commits in 5 years
Contributions summary:Daniel primarily focused on refactoring and enhancing the Batfish configuration analysis tool. Their contributions include renaming build files, sorting communities in output, adding tests, fixing bugs in ExtendedCommunity and OpaqueExtendedCommunities, and implementing support for community-count filtering in JunOS. They also worked on supporting colon characters in names within the JunOS configuration and removing legacy components.
network-configurationsecuritynetworkconfigurationconfiguration-parser
GoogleCloudPlatform/DataflowJavaSDK
May 2015 - May 2017
Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 releases, 307 commits, 329 PRs in 2 years
Contributions summary:Daniel primarily focused on enhancing the logging capabilities within the `StarterPipeline` example by replacing stdout with logging calls, allowing for output visibility in both local and service configurations. They addressed a parameter name issue and removed an unused import in the `AutoCompleteTest`. Additionally, the user removed deprecated functionality by replacing uses of `withName` with `setName` in the code base. They also contributed to the `BlockingDataflowPipelineRunner` code by having exceptions thrown if the pipeline fails.
google-cloud-dataflowdata-sciencedata-analysisdata-miningbig-data
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