Angela Sha is an AI/ML engineer at Apple with nine years of experience bridging machine learning research and production systems. A University of Chicago CS and Statistics graduate, she moved from chemistry and pre-med roots into computational research, bringing a strong quantitative and experimental mindset to ML problems. At Apple she progressed through the Siri Rotational Program and GPU automation internships, gaining hands-on expertise in scalable model deployment and testing. Her background as a CS teaching assistant and machine learning research assistant reflects both strong technical mentorship and research instincts. Based in Seattle, she combines industry-grade engineering rigor with academic curiosity from nanoparticle simulation work, and outside of work she’s known for loving food and Nintendo.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of Chicago
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