Jeet Jivrajani is a Senior Software Engineer based in California with nine years of experience blending AI research and production software engineering. With an MS focused on AI and software engineering, he has moved from machine learning research on differential privacy and biomedical survival analysis to building containerized, cloud-native services at Ripple. He codes across Python and Java, leverages Docker and Kubernetes for deployment, and has practical experience automating inspection systems and person re-identification from earlier AI internships. At Ripple he progressed from Software Engineer II to Senior Software Engineer, demonstrating both technical growth and impact in a fast-moving fintech environment. Colleagues benefit from his background in teaching and research, which brings clarity to complex algorithmic problems and an emphasis on interpretability and privacy. He pairs rigorous academic training with hands-on production delivery, often bridging ML experimentation and reliable engineering practices.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at University of North Carolina at Charlotte
Bachelor’s Degree Information And Communication Technology, Bachelor’s Degree Information And Communication Technology at School Of Engineering And Applied Science
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