Shihao Wang is a software engineer with 9 years of experience blending deep learning research and production engineering, currently pursuing an MS in Computer Science at Columbia and working at Amazon. He has a strong track record in computer vision and medical imaging—publishing work on dermatoses classification and improving imbalanced-class accuracy to 81.45%—and has led teams to build award-winning deep learning solutions for image classification and mobile sensor apps. Shihao combines research rigor from roles at Hong Kong Baptist University with production-grade engineering demonstrated in internships and SWE roles (TypeScript/React, Java with DI, AWS CDK) that cut deployment costs and times dramatically. Comfortable across the stack, he also brings practical experience in federated learning and on-device inference, making him effective at taking models from prototyping to scalable deployment.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Science - BS Informatics, Bachelor of Science - BS Informatics at Technical University of Munich
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Columbia University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Hong Kong Baptist University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at McGill University
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