Qinyun Cai
Medical Student at Carle Illinois College of Medicine
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolQinyun Cai is a software engineer and data scientist turned medical student with eight years of experience building ML-driven applications across healthcare and biotech. They have applied deep learning to ophthalmic OCT data at UC San Diego, developed peptide-binding prediction tools and a Flask-based web platform at IGE Therapeutics, and contributed to production security and data pipelines in industry roles. Based in Chicago, Qinyun blends hands-on engineering (TensorFlow, SVMs, Flask, Raspberry Pi) with a strong data-science foundation and practical deployment experience. Now training in medicine at Carle Illinois, they bridge clinical insight with technical expertise to translate algorithms into patient-facing solutions. An unusual combination: they’re also a private pilot, reflecting disciplined, safety-minded problem solving beyond the lab.
8 years of coding experience
6 years of employment as a software developer
University of California San DiegoDoctor of Medicine - MD, Doctor of Medicine - MD at Carle Illinois College of Medicine
Github Skills (21)
calculator10
marching-cubes9
mathematics9
isosurface9
nanobind8
thrust8
virtual-reality8
rendering7
python7
3d-reconstruction7
cuda6
pytorch6
simulation4
computer-graphics4
gpu4
Programming languages (6)
Github contributions (5)
CSE168sp20/CSE-168-OptiX-Starter-Code
Mar 2020 - Aug 2020
Contributions:9 commits, 8 pushes, 1 branch in 5 months
CSE168sp20/CSE-168-OptiX-Tutorial
Jun 2019 - Aug 2020
Contributions:6 commits, 4 pushes, 1 branch in 1 year 2 months
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