Dmitry Khapilin

Production Engineer at Meta

Walnut Creek, California, United States
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Summary

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Senior
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Top School
Dmitry Khapilin is a Production Engineer with over a decade of hands-on experience designing and operating large-scale distributed systems, currently improving ML training infrastructure at Meta. He has a strong track record of making critical backend services—search, payments, and data pipelines—more reliable, performant, and fault-tolerant at companies like Uber, Ozon.ru and Meta. Dmitry combines systems-level thinking with practical implementation skills across Java, C#, Python and cloud platforms, and has driven architecture and migration efforts as a solution architect. He also contributes to open-source (notably improving SolrNet’s cloud testing and replica-selection robustness), reflecting a focus on stability and correctness that often shows up behind the scenes. Based in Walnut Creek, CA, he brings deep experience in observability, data correctness, and operationalizing complex services under strict SLAs.
code11 years of coding experience
job13 years of employment as a software developer
bookGymnasium 28 (with specialized IT classes)
bookMaster's degree, Applied Mathematics and Computer Science, Master's degree, Applied Mathematics and Computer Science at Vyatka State University of Humanities
languagesEnglish, Russian
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Stackoverflow

Stats
1reputation
0reached
0answers
0questions
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Github Skills (9)

net10
asp-net10
dotnet10
solrnet10
csharp10
solr10
cloud-computing10
testing10
zookeeper9

Programming languages (1)

C#

Github contributions (4)

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SolrNet/SolrNet

May 2016 - May 2016

Solr client for .Net
Role in this project:
userBack-end Developer & QA Engineer / Test Automation Engineer
Contributions:5 commits, 1 comment in 5 days
Contributions summary:Dmitry primarily focused on improving the testing of the SolrNet client, specifically for cloud-based Solr instances with Zookeeper. Their work involved fixing test failures and adding new test cases to validate the functionality of the collections admin API. The user also made adjustments to the core SolrNet cloud operations and state management, enhancing the robustness and reliability of replica selection within the Solr cloud environment. This indicates an effort to improve the stability and reliability of the library.
dotnetsolrsolrnetsolr-clientc-sharp
RageRabbit/CoderIssues

Feb 2015 - Mar 2015

Contributions:4 pushes in 24 days
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Dmitry Khapilin - Production Engineer at Meta