John Helmsen

Research Team Lead at Noblis

Rockville, Maryland, United States
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Summary

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Senior
🎓
Top School
John Helmsen is a research team lead with 11+ years of experience specializing in machine learning, distributed graph algorithms, and big data systems, currently based in Rockville, MD. He has a strong track record transitioning organizations into advanced technology areas, delivering patented threat-scoring and online distributed graph processing techniques used in operational security products. His background spans applied physics and numerical methods—ranging from radar and sensor simulation to computational fluid dynamics and semiconductor process modeling—rooted in a PhD-level research career at UC Berkeley. John combines hands-on engineering (Spark, JanusGraph/HBase, Ambari, GPU computing) with technical leadership, mentoring teams and guiding government and industry projects to completion. Notably, he is a recognized authority on front-tracking methods for the inverse Eikonal problem and has repeatedly demonstrated methods for eventual consistency and online parameter/model updates in distributed inference systems.
code11 years of coding experience
job20 years of employment as a software developer
bookMaster of Science (M.S.), Electrical Engineering, Master of Science (M.S.), Electrical Engineering at University of California, Berkeley
bookBachelor of Science (B.S.), Electrical Engineering, Computer Engineering, Mathematics, Bachelor of Science (B.S.), Electrical Engineering, Computer Engineering, Mathematics at Carnegie Mellon University
languagesJapanese
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Github Skills (6)

system-analysis4
sandbox4
cuckoo3
security3
malware3
matrix1

Programming languages (3)

JavaScriptGoClojure

Github contributions (5)

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redjack/marionette

Aug 2018 - Sep 2018

Contributions:3 PRs, 7 pushes, 5 comments in 1 month
getlantern/marionette

Sep 2017 - May 2018

Contributions:17 commits in 7 months
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John Helmsen - Research Team Lead at Noblis