Tomoyoshi Hirata is a machine learning engineer with eight years' experience applying Python, R, Ruby, C++, and Perl to data analysis, image processing, and deep reinforcement learning. With a PhD in physics (elementary particle theory) from Kyoto University, he brings a strong physics-driven perspective to model building and experimental data acquisition. He has delivered end-to-end systems ranging from 3D scan upsampling and OCR to geospatial feature ranking and fluid-flow simulation, bridging research-grade algorithms and production engineering. Currently at Arithmer and active as a data analyst at goga, he combines scientific rigor, mathematical fluency, and practical software craftsmanship to solve real-world problems. Less obvious: his background in particle physics has honed an ability to design experiments and curate datasets tailored to hypothesis-driven ML development.
8 years of coding experience
doctor, physics (elementary particle theory), doctor, physics (elementary particle theory) at 京都大学 / Kyoto University
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