Varsha Kishore is a machine learning researcher and PhD candidate at Cornell with 10 years of software and research experience across academia and industry. She has applied ML to diverse domains—from surgical gesture classification and storage systems to text diffusion and distantly supervised relation extraction—through internships at Google, Microsoft Research, ASAPP and projects with Intuitive Surgical and Harvard. At Cornell she leads applied ML projects as a Graduate Research Assistant, and her summer at Google focused on text diffusion research that complements her broader interest in language and representation learning. Varsha pairs strong engineering skills (including mobile and systems work from earlier internships) with a rigorous theoretical background from Harvey Mudd and Cornell. Colleagues describe her as someone who moves fluidly between prototyping practical systems and exploring novel research directions. Based in Ithaca, she brings uncommon breadth—bridging low-level systems work and cutting-edge ML research—into each project.
9 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Cornell University
Bachelor's Degree, Mathematics and Computer Science, Bachelor's Degree, Mathematics and Computer Science at Harvey Mudd College
High School, International Baccalaureate, High School, International Baccalaureate at The International School of Bangalore
Contributions:57 commits, 45 pushes, 5 branches in 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.