Gagik Gavalian
Jlab Staff Scientist at Jefferson National Lab
Norfolk, Virginia, United States
Summary
👤
Senior🎓
Top SchoolGagik Gavalian is a Principal Software Engineer and computational physicist with 11+ years of experience building AI-driven, high-performance data systems and distributed microservices for large-scale scientific experiments. He has led end-to-end development of real-time reconstruction and streaming analytics platforms that processed petabyte-scale datasets, achieved 3× faster I/O than ROOT workflows, and increased usable physics yield by ~60%, saving roughly $5M annually. Skilled across C++, Java, and Python, he bridges low-level performance engineering with AI model development and production deployment, and has operationalized denoising, tracking, and particle-ID pipelines in live detector systems. Based in Norfolk, VA, he combines academic rigor from a PhD in Physics with production software leadership at Jefferson Lab and Cubic, and is known for designing reusable visualization and data formats that turn high-volume experimental telemetry into real-time scientific decisions.
11 years of coding experience
25 years of employment as a software developer
Doctor of Philosophy, Physics, Doctor of Philosophy, Physics at University of New HampshireB.Sc., B.Sc. at Yerevan State University
Armenian, Russian, English
Github Skills (38)
particle-physics9
visualization9
data-format9
java9
detector9
data-visualization8
prediction8
physics8
high-energy-physics8
keras-models8
graphical-user-interface7
high-performance7
monte-carlo7
tinyml6
keras6
Programming languages (4)
Github contributions (5)
gavalian/j4np
Aug 2020 - Mar 2023
Contributions:56 commits, 133 pushes, 1 branch in 2 years 7 months
JeffersonLab/clas12rec
Jun 2016 - Mar 2017
Contributions:1 release, 13 PRs, 123 pushes in 8 months
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