Caleb Smith
AI Evaluator (Part Time)
Lawrence, Kansas, United States
Summary
👤
Senior🎓
Top SchoolCaleb Smith is an experimental high-energy physicist turned AI evaluator with a decade of experience turning large-scale physics data and simulations into robust, production-ready analyses. As a postdoc on the CMS experiment he designed data-driven searches across thousands of regions, applied deep learning to b-quark tagging, and built Python frameworks that sped electrical testing tenfold and tracked production to reveal a 1.5-year early completion. He brings hands-on software skills (Python, Pandas, NumPy, Matplotlib, Django/Tkinter) used to automate hardware testing and manage test infrastructure for major detector upgrades. Now evaluating and prompting LLMs part-time, he leverages scientific rigor and large-data intuition to craft realistic system/user prompts and assess model outputs. Based in Lawrence, Kansas, he blends PhD-level research discipline with practical engineering that reliably moves complex projects from analysis to deployment.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Science - BS, Physics, Bachelor of Science - BS, Physics at Taylor UniversityDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Baylor University
Github Skills (47)
kubernetes10
python10
lpc10
sticker9
oscilloscope9
x-plane9
cling8
physics8
statistics8
aurora8
mathematics8
susy8
geometry8
parallel7
visualization7
Programming languages (12)
Github contributions (5)
caleb-james-smith/Utility
May 2022 - Mar 2025
Useful utility scripts
Contributions:10 PRs, 31 pushes, 10 branches in 2 years 10 months
ku-cms/SiPixelTools-PixelTrees
Mar 2021 - Jan 2023
Contributions:8 PRs, 20 pushes, 10 branches in 1 year 9 months
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