Michael Eliachevitch is a data engineer with 11 years of experience who bridges experimental particle physics and production-grade ML/data engineering. He completed a PhD analyzing Belle II detector data using scientific Python (pandas/dask, numpy, scipy) and C++14 reconstruction code, including ML-based estimators for track quality. At Blue Yonder he applies that research-grade data tooling to industry-scale ML pipelines, while his background as a core admin at KIT gave him practical Linux, Ansible and Docker operations experience. He enjoys collaborative software development, mentoring students and leading tutorials, reflecting strong team and teaching skills alongside technical depth. Comfortable in international, multidisciplinary teams, he brings a methodical, research-first approach to production data problems.
11 years of coding experience
Master of Science - MS, Physik, 1,0, Master of Science - MS, Physik, 1,0 at Karlsruher Institut für Technologie (KIT)
Task scheduling and batch running for basf2 jobs made simple
Contributions:19 releases, 54 reviews, 275 commits in 2 years 10 months
task-schedulingschedulingjobsbatch
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