Dev Sheth

Dev Sheth is a quantitative researcher at Graviton Research Capital LLP since July 2022. Previously, Dev held positions as a software engineering intern at Google, contributing to the NBU Ads team, and as a graduate researcher at the Indian Institute of Technology, Madras under Dr. Mitesh M. Dev also gained experience as a machine learning engineer intern at Sprinklr, focusing on vision engines, and as a research assistant at the NYU Center for Data Science with guidance from Dr. Carlos Fernandez-Granda. Notable academic achievements include developing an algorithm for winner determination from active pairwise comparisons during tenure as an undergraduate researcher at the Indian Institute of Technology, Madras, which was accepted at ICDM 2021. Dev's educational background includes a dual degree in Computer Science & Engineering from the Indian Institute of Technology, Madras, complemented by foundational studies in science and mathematics at Edunova Science Higher Secondary School and D R Amin Memorial School.