Summary
Rakshith Manandi is a Senior Data Scientist with seven years of experience applying ML and AI to healthcare imaging, cybersecurity, and cloud-scale products, currently based in Sunnyvale and leading data science work at Amazon. Trained in bioengineering (UCSD) with an undergrad in ECE, he blends biomedical signal and image expertise with production ML—having cut cardiac image segmentation time from over an hour to about a second and deployed models and ETL pipelines that reduced execution times by >95%. At Goldman Sachs he designed anomaly detection and refined clustering for highly imbalanced security data, dramatically reducing analyst triage load, and at Recursion he developed VAEs to detect domain shifts in large cellular imaging datasets. Motivated by a lifelong desire to impact healthcare, he now focuses on making medical devices and systems “smarter” through AI, combining research rigor, cross-functional communication, and hands-on engineering to move models from prototype to production.
7 years of coding experience
8 years of employment as a software developer
University of California, San Diego
Bachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Vellore Institute of Technology
English, Hindi, Telugu, Kannada, Tamil, German