Brian Bargh
Quantitative Trader
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolBrian Bargh is a quantitative trader based in Seattle with 11 years of experience applying mathematics and machine learning to design and operate low-latency trading algorithms. With a Master's in Mathematics from The George Washington University and a BA from Messiah College, he blends deep theoretical grounding with practical, production-focused trading systems. He is a creative problem solver and self-starter who runs his own quantitative trading practice, optimizing strategies and infrastructure for speed and reliability. Known among peers as a "math and machine learning nerd," he pairs probabilistic thinking with engineering pragmatism to turn complex market signals into automated, auditable strategies.
11 years of coding experience
Bachelor of Arts, Mathematics, Bachelor of Arts, Mathematics at Messiah CollegeMasters, Mathematics, Masters, Mathematics at The George Washington University
Github Skills (77)
transformers10
python10
deep-learning10
ml10
neural-network10
transformer10
nlp10
jax10
data-science10
tensorflow10
natural-language-processing10
pytorch10
machine-learning10
deep-neural-networks10
bert10
Programming languages (4)
Github contributions (5)
brian8128/siamese
Apr 2016 - Apr 2016
Contributions:49 commits, 86 pushes, 1 branch in 22 days
datamath28/python_template
Mar 2016 - Aug 2016
Contributions:2 PRs, 7 pushes, 2 branches in 5 months
templatepythonrelativedevprod
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