Jackson Sheppard
Software Engineer at Department of Chemistry and Biochemistry | University of California, Santa Barbara
Santa Barbara, California, United States
Summary
👤
Senior🎓
Top SchoolJackson Sheppard is a doctoral student in chemistry with a physics background and eight years of hands-on experience building controls and data-driven systems, most recently integrating motion hardware and device support for experiments at SLAC’s LCLS where he earned a Spot Award for dependability. He combines applied control engineering (EPICS, PLCs, Beckhoff) with data analytics and machine learning skills—Python, SQL, TensorFlow/Keras, PySpark—and a certificate in data analytics to bridge experimental apparatus and analysis pipelines. At UCSB he balances graduate research, teaching, and tutoring while contributing to computational studies of molecular dynamics and FEL beam simulations published with SLAC collaborators. Known for clear technical communication and dependable execution, he excels at integrating heterogeneous devices and producing reproducible data workflows on Linux and cloud-backed systems. An avid learner and problem solver, he brings both lab-scale instrumentation experience and production-oriented software practices to multidisciplinary teams.
8 years of coding experience
University of California, Santa Barbara
Github Skills (32)
cdr10
altium-designer10
twincat10
abaqus10
siemens9
ethernet9
plc9
photon8
cnc8
electrical-engineering8
opc8
scada7
calculation7
python7
bacnet7
Programming languages (5)
Github contributions (5)
tlin41390/MusicClassification
Apr 2021 - May 2021
machine learning to classify music genre.
Contributions:16 reviews, 46 PRs, 125 pushes in 1 month
machine-learning
jsheppard95/labs.chem.ucsb.edu.shea.joan-emma
Aug 2022 - Jun 2026
Contributions:1 review, 40 pushes, 1 branch in 3 years 10 months
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