Ilija Vukotic is a Scientific Programmer with 13 years of experience designing and operating large-scale, distributed data systems for high-energy physics collaborations. Based in Chicago, he leads global data federation and analytics efforts for ATLAS, integrating diverse storage and streaming technologies (Hadoop, S3, ElasticSearch, AMQ, Flume) and custom collectors to tame high-latency, multi-site workflows across 65 computing centers. A scientist by training (PhD in high-energy physics) and systems engineer by practice, he blends research-grade rigor with production-quality backend development—contributing notable features to the Rucio scientific data management project. He also spun an outreach-cum-analysis tool, ATLASrift, from a pet VR project into an interactive event viewer, and is exploring cognitive computing for HEP applications. Known for pragmatic automation, clear site support, and improving code quality and testability, he thrives where complex infrastructure meets real user needs.
14 years of coding experience
5 years of employment as a software developer
Diploma, Applied physics and informatics, Diploma, Applied physics and informatics at Univerzitet u Beogradu / University of Belgrade
PhD, High energy physics, PhD, High energy physics at Humboldt-Universität zu Berlin
Contributions:39 reviews, 7 commits, 19 PRs in 1 year 3 months
Contributions summary:Ilija significantly contributed to the backend functionalities of the Rucio data management system. Their work included adding support for multi-node XCaches, which involved implementing a VP prefix mechanism and integrating a mock VP server for testing. They also made numerous code improvements, including logging, formatting, and comment cleanup. Additionally, the user addressed documentation and whitespace issues, contributing to the overall quality and maintainability of the codebase.
for all XCache resource ( docker container, docs, k8s deployment)
Contributions:14 commits, 2 PRs, 351 pushes in 2 years 6 months
docker-containerk8s-deploymentxcache
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