Ajith Kanuri is a skilled professional with a Bachelor’s degree in Computer Science from the University of Maryland and a strong background in both technical support and software engineering. Experience includes working as a Computer Technician at the Division of IT at the University of Maryland, organizing sponsorships for Bitcamp, and serving as a Peer Mentor in a research project focusing on transcriptomics. Internships as a Software Engineer at Fannie Mae and Capital One, along with a current position as a Software Engineer at Google, complement research experience at the NIH Center for Information Technology, where Ajith developed machine learning models and image stabilization programs. Previous internships include roles at System Soft Technologies and a research fellowship in deep brain neurotechnology.
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