Summary
Chris Yang is an Associate Software Engineer with a unique blend of neuroscience research and production ML platform experience, currently designing high-availability metadata stores and low-latency microservices for feature serving at Capital One. With a background in neuroscience and hands-on biomedical imaging projects at Emory, NCI, and NIH, he brings domain knowledge that helps bridge clinical data challenges and ML engineering. He began his Capital One career through immersive developer and technology development programs, quickly moving into responsibilities supporting fraud detection ML teams with onboarding, tooling, and documentation. Chris pairs rigorous research habits—annotating medical images and curating clinical datasets—with practical software delivery, making him effective at translating messy real-world data into reliable systems. Based in Potomac, MD, he is pursuing an MS in Computer Science at Georgia Tech while advancing work on scalable, production-grade ML infrastructure. An unexpected detail: his early work included building a Raspberry Pi virtual microscope server to democratize pathology images for medical schools in developing countries.
12 years of coding experience
5 years of employment as a software developer
Winston Churchill High School
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Bachelor of Science (BS) · Neuroscience and Behavioral Biology Neurobiology and Neurosciences, Bachelor of Science (BS) · Neuroscience and Behavioral Biology Neurobiology and Neurosciences at Emory University
Chinese, Spanish, English