Summary
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Rockstar🎓
Top SchoolRichard 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.
14 years of coding experience
7 years of employment as a software developer
DPhil in Engineering Science Biomedical Image Analysis, DPhil in Engineering Science Biomedical Image Analysis at University of Oxford
Bachelor of Engineering (B.E.) Electrical and Electronics Engineering, Bachelor of Engineering (B.E.) Electrical and Electronics Engineering at The University of Auckland