Szilárd Németh
Senior Staff Software Engineer at Cloudera
Atlanta, Georgia, United States
Summary
🤩
Rockstar🎓
Top SchoolSzilárd Németh is a Senior Staff Software Engineer based in Atlanta with 11 years of experience building and operating large-scale backend systems, currently driving YARN and resource management work at Cloudera. He is an Apache Hadoop committer and PMC member who has made notable contributions to Hadoop/YARN—improving capacity scheduling, auto-queue creation, and container resource handling for one of the most widely used big-data platforms. Szilárd blends pragmatic engineering with a strong emphasis on code quality, automation, and testability, and has led cross-team efforts such as integrating GPU support and upgrade paths for enterprise data platforms. He thrives in collaborative teams but is equally effective working independently, consistently walking the extra mile to deliver readable, maintainable solutions. Beyond day-to-day delivery, he mentors new hires, coordinates multi-site teams, and has hands-on experience integrating ML frameworks like PyTorch into production ecosystems. A true tinkerer, he pairs deep systems expertise with a habit of experimenting with new technologies to find the best solution for hard problems.
11 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at University of Pannonia
English, Hungarian
Github Skills (8)
javas10
sched10
cap10
resource-management10
java10
scheduler10
zookeeper8
webservice7
Programming languages (5)
Github contributions (5)
apache/hadoop
Jul 2019 - Jan 2023
Apache Hadoop
Role in this project:
Back-end Developer
Back-end DeveloperContributions:175 reviews, 490 commits, 123 PRs in 3 years 7 months
Contributions summary:Szilárd primarily contributed to the Hadoop project, specifically the YARN (Yet Another Resource Negotiator) subproject. They were involved in developing functionalities related to resource management, including support for flexible auto-queue creation, improvements to queue limits, and modifications to the web UI. Key changes involved enhancing the CapacityScheduler, focusing on aspects like queue ordering policies, and addressing issues related to container resource management.
apachebig-datasparkhadoopjava
szilard-nemeth/linux-env
Jan 2015 - Dec 2022
My Linux and Mac environment, features auto-loading changes from the repository into the shell environment and other useful goodies.
Contributions:573 commits, 4 PRs, 290 pushes in 8 years
changesvalgrindlinuxbashmac
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