Richard Stebbing

EQR at Citadel

New York, New York, United States
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Summary

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Rockstar
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Top School
Richard Stebbing is an engineering leader and machine learning practitioner with 13 years of experience building research-driven products and ML platforms across startups and high-performance firms. He served as CTO at Impira, led ML Platform work at Figma, and recently joined Citadel in an EQR role, demonstrating a pattern of moving between hands-on engineering, productization, and platform-scale ML. His background includes DPhil research in biomedical image analysis from Oxford and early research internships at Microsoft, giving him deep expertise in applied ML and computer vision. Richard has a track record of scaling teams and systems from prototype to production, particularly in companies focused on extracting structured insight from complex data. He combines academic rigor with operational discipline, comfortable shipping infrastructure-level solutions as well as research innovations. Based in New York, he brings a cross-disciplinary perspective from electrical engineering through doctoral-level machine learning to solve hard product and trading problems.
code14 years of coding experience
job7 years of employment as a software developer
bookDPhil in Engineering Science Biomedical Image Analysis, DPhil in Engineering Science Biomedical Image Analysis at University of Oxford
bookBachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at The University of Auckland
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Github Skills (34)

nonlinear-optimization-algorithms10
nonlinear-programming10
audio10
tensorflow10
numerical-optimization10
computer-vision10
structure-from-motion10
nonlinear-optimization10
levenberg-marquardt10
pytorch9
python9
llm9
machine-learning9
multimodal9
natural-language-processing9

Programming languages (3)

JavaC++Python

Github contributions (5)

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rstebbing/subdivision

Nov 2014 - Dec 2015

Contributions:209 commits, 2 pushes in 1 year 1 month
rstebbing/bspline-regression

Dec 2014 - Apr 2015

Contributions:98 commits, 2 pushes, 2 branches in 4 months
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