Tamás Vámi is a particle physicist and software-savvy postdoctoral scholar with a decade of experience driving detector calibration, alignment and Monte Carlo interpretation for the CMS experiment at CERN and now based in Santa Barbara. He blends deep hands-on expertise in silicon pixel detector calibration and conditions/database workflows with practical software contributions to the CMSSW ecosystem (including configuration and maintenance work on the widely used cms-sw projects). A proven leader, he has convened multiple CMS technical groups, led prompt calibration and time-dependent simulation efforts for Run‑3, and regularly translates complex detector issues into robust operational solutions. He began university-level research at 16 and pairs strong public outreach and mentoring experience with a results-oriented, collaborative approach to large-scale experimental challenges. An uncommon strength is his cross-cutting fluency between low-level detector calibration, database/category design for offline workflows, and production-grade code maintenance.
10 years of coding experience
7 years of employment as a software developer
Johns Hopkins University
Master's degree, Elementary Particle Physics, Excellent, Master's degree, Elementary Particle Physics, Excellent at Eötvös Loránd University
Bachelor's Degree, Physics, Bachelor's Degree, Physics at Eötvös Loránd Tudományegyetem
Contributions:634 reviews, 230 commits, 195 PRs in 7 years 1 month
Contributions summary:Tamás contributed to updating template and GenErr codes. They applied clang code-format and made minor changes to files, including test files and input files. The user also modified a Python configuration file for uploading SiPixel2DTemplateDB objects. The nature of the changes suggest the user is involved in code maintenance and potentially contributing to the development of a data management system, probably related to the physics experiment.
A few scripts to automate approval / testing process
Role in this project:
Back-end Developer / Data Engineer
Contributions:6 commits, 8 PRs, 14 comments in 11 months
Contributions summary:Tamás primarily contributed to the configuration and definition of categories, specifically related to the "db" (database) and "alca" (alignment and calibration) signatures. Their work involved modifying the categories.py and categories_map.py files to include various modules, packages, and individual users associated with these areas. The commits added new L1Trigger modules and CondTools modules to appropriate categories. This indicates the user's involvement in organizing and defining the structure for CMSSW related packages.
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Tamás Vámi - Postdoctoral Scholar at UC Santa Barbara