Jackson Temple
Quantitative Trader
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolJackson Temple is a quantitative trader based in Oakland with eight years of experience building and deploying high-frequency and market-making strategies, particularly across futures energy spreads. A UC Berkeley Data Science graduate with a strong industrial engineering grounding, he blends deep learning and LLM research with production-grade data pipelines to turn models into live trading edges. He has led small teams to integrate retrieval-augmented generation for verification workflows and improved retrieval accuracy through careful chunking and embedding choices. Past research includes training dozens of LSTMs to model nuclear reactor flux with significant accuracy gains, reflecting a talent for squeezing performance from complex temporal data. Equally comfortable in research and fast-moving production environments, he pairs rigorous quantitative analysis with pragmatic engineering—down to building roll trackers and deployment-ready trading systems.
8 years of coding experience
Bachelor of Arts - BA, Data Science, 3.98, Bachelor of Arts - BA, Data Science, 3.98 at University of California, BerkeleyHigh School Diploma, High School Diploma at Piedmont High School
Italian, English, French
Github Skills (8)
simulation9
pipeline3
validation2
python2
visualization1
simulator1
astronomy1
radio-astronomy1
Programming languages (3)
Github contributions (5)
Jackmastr/cuda_sandbox
May 2018 - Sep 2018
Contributions:84 pushes, 2 branches in 3 months
Jackmastr/Jackmastr.github.io
Sep 2024 - Dec 2024
Contributions:29 pushes, 1 branch in 2 months
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