Sam Budd
CTO & Co-Founder at Fraiya Ltd
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolSam Budd is a CTO and co-founder with 11 years of experience applying machine learning and medical image analysis to safety-critical healthcare problems, currently leading AI-driven ultrasound innovation at Fraiya while also heading translational engineering at King’s College London. His PhD from Imperial College focused on real-time, human-in-the-loop deep learning for fetal ultrasound screening, and his work has been published at MICCAI and FAIR, blending rigorous research with production-ready systems. Sam has a track record of building MLOps pipelines and deployable ML products—from flood segmentation for climate applications to real-time biometric tools for sonographers—bridging academia, industry and space-health collaborations. He mentors interdisciplinary teams and has contributed causal-inference platforms at Frontier Development Lab in partnership with NASA and Mayo Clinic, showing a knack for tackling out-of-distribution and low-sample problems. Known for synthesising state-of-the-art models with essential human expertise, he focuses on pragmatic, clinician-friendly tools that improve diagnosis and workflow efficiency. Based in London, he seeks collaborators and high-impact problems that push both technical and human-centred boundaries.
10 years of coding experience
1 year of employment as a software developer
Esher CollegeMaster’s Degree, Computing, First Class Honours, Master’s Degree, Computing, First Class Honours at Imperial College LondonMaster of Research - MRes, Medical Imaging Sciences, Pass with Distinction, Master of Research - MRes, Medical Imaging Sciences, Pass with Distinction at King's College London
English
Github Skills (16)
flooding9
data-models7
machine-learning6
python6
data-science5
ecosystem5
mlops3
medical-imaging1
image-segmentation1
uncertainty1
deep-learning1
tensorflow1
segmentation1
proc1
medical1
Programming languages (1)
Github contributions (5)
sambuddinc/DLTK
May 2018 - Aug 2018
Contributions:51 pushes in 2 months
image-analysispythonmedical-imagedeep-learningcomputer-vision
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