Mubariz Khan is a Healthcare Data Scientist based in Chicago with 8 years of experience building and deploying ML-driven solutions across healthcare and enterprise domains. He combines a Master’s in Data Science from Illinois Institute of Technology with hands-on expertise in model development, Docker/Kubernetes deployment, and AWS-based ETL and monitoring pipelines. His work has delivered measurable impact—most notably a polyp segmentation solution that improved radiology efficiency by 50% and saved roughly 650 hours per year. Equally comfortable in product-facing roles and infrastructure-focused engineering, he has modernized IVR systems, optimized high-traffic web apps, and automated CI/CD for reliable delivery. Always learning, he blends practical cloud DevOps skills with applied ML to move research into production quickly and scalably.
8 years of coding experience
4 years of employment as a software developer
Lahore Grammar School
Master of Science - MS Data Science, 3.45, Master of Science - MS Data Science, 3.45 at Illinois Institute of Technology
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at National University of Computer and Emerging Sciences
Contributions:5 pushes, 1 branch in 2 years 7 months
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