Summary
Peter Marsh is an AI-focused software engineer and current M.S. student in Biomedical Engineering, Data Science, and Software Design at Northwestern, bringing eight years of hands-on experience across full-stack development and biomedical research. He has built and deployed deep learning models for medical imaging at Cedars-Sinai—processing CT, MRI, and retinal data for disease risk assessment under DoD-funded projects—and now applies that domain expertise to AI product work as an intern at Cotive AI. Comfortable moving between research and production, he’s shipped software at startups like Lintbook and taught quantitative subjects as a TA, reflecting both technical depth and strong communication skills. Based in Seattle, he blends clinical imaging insight with practical engineering, often surfacing non-obvious dataset and preprocessing challenges that improve downstream model performance.
8 years of coding experience
2 years of employment as a software developer
UCLA Henry Samueli School of Engineering and Applied Science
Master of Science - MS, Biomedical/Medical Engineering, Master of Science - MS, Biomedical/Medical Engineering at The Graduate School at Northwestern University