Summary
Sahithi Garikapati is a Senior Algorithm Engineer with 10 years of experience applying biomedical engineering, signal processing, and data analysis to medical device and neuromodulation product development. With an M.S. from Johns Hopkins and a track record across research, clinical trials, and FDA de novo submissions, she bridges rigorous academic research and practical regulatory-driven productization. At Feelmore Labs she led bidirectional neurostimulation algorithm development and cut analysis time by 50% through automation, and she now develops advanced algorithms at Masimo. Her work spans EEG/ECG/PPG/GSR analytics, closed-loop vagal stimulation systems, and heart rate variability metrics for outcome prediction, reflecting deep domain expertise in physiological signal interpretation. Colleagues describe her as a multidisciplinary collaborator who translates complex biosignal insights into clinically viable solutions.
10 years of coding experience
6 years of employment as a software developer
Johns Hopkins University
Bachelor of Engineering (B.E.), Biomedical/Medical Engineering, Bachelor of Engineering (B.E.), Biomedical/Medical Engineering at M.S. Ramaiah Institute Of Technology
English, Hindi, Telugu, Kannada