Curriculum Vitae
I am a Ph.D. Student at Cornell University, researching system and algorithm design for biomedical applications of near-field radio sensing, primarily for non-invasive cardio-pulmonary healthcare devices. Prior to my doctoral studies, I researched AutoML algorithm design at Samsung Research.
Ph.D. Student
Cornell University
Aug 2022 - Present · 2 yr 6 mos
As part of my PhD at the Edwin Kan Lab, I research and design non-invasive devices for cardiological characterization, both for physiological feature extraction and structural modeling, and biometric system design. A significant part of my research involves time-series signal processing, designing better classification pipelines, and developing a theoretical understanding for near-field bio-sensing.
Teaching Assistant, RF Systems
Aug 2023 - Dec 2023
Assisted professors and co-ordinated with other TAs during Fall 2023 wherein I conducted discussion sessions for senior year undergraduate and M.Eng. students in the RF systems course.
Senior Research Engineer
Samsung Research
Jan 2021 - Jun 2022 · 1 yr 6 mos
My research focused on utilizing AutoML and Neural Architecture Search to enable low-resource deployment of computer vision models on resource-constrained devices. Our work culminated in the development of a patented novel inference algorithm which provided model speed-up without severe accuracy degradation
Software Engineering Intern
Samsung Research
May 2019 - Jul 2019 · 3 mos
Designed Automatic Speech Recognition systems using Kaldi and PyTorch to ascertain speaker demographics by analyzing audio data using GMM-HMMs, MFCC Features, i-Vectors, and DNN-Embedding Feature Vectors
Bachelor of Technology
Indian Institute of Technology Bombay
Jul 2016 - May 2020 · 3 yr 10 mos
I majored in Electrical Engineering and completed a minor in Computer Science and Engineering with an overall GPA of 9.18/10
Teaching Assistant, Quantum Physics
Jul 2017 - Nov 2017
Assisted professors and co-ordinated with other TAs during Fall 2017 as part of my duties. Taught and assisted a cohort of ~50 first year undergraduate students in improving their understanding of the Introductory Quantum Physics course (PH107).