About

Aahlad G. is a highly skilled software engineer and data scientist with a strong background in mathematics. Currently serving as a Machine Learning Research Technician at Brown University, Aahlad has gained extensive experience in analyzing Rademacher complexity and VC dimension of proposed algorithms based on KS testing. He has also been involved in drafting papers, completing proofs and algorithms, and reviewing research on Rademacher complexity and applications to two-sample tests. Prior to his current role, Aahlad served as an Algorithms Teaching Assistant at Tufts University, where he led office hours and recitations and graded assignments. He also worked as an Information Technology Technician at Tufts University, troubleshooting and repairing student and faculty computing devices with software and hardware errors. Aahlad holds a Bachelor of Science degree in Mathematics from Tufts University, where he graduated in 2018. He has a strong tech stack that includes ML, Research Scientist, Data Scientist, Software Engineer, and test. With over four years of relevant experience, Aahlad is a highly motivated and detail-oriented professional who is always looking for new challenges and opportunities to learn and grow.