About

Qasim Wani is an accomplished ML Engineer and Researcher, currently serving as a Member of Technical Staff at Infinitus Systems, Inc. He is a Kleiner Perkins fellow, with a Bachelor's degree in Computer Engineering from Virginia Tech. Qasim is a versatile professional with a diverse skill set that includes ML, software engineering, research science, AI, and NLP. Qasim has built open-source products that have been used over 20 million times, and he has received funding opportunities for his first startup from Twitch founder and one of the first investors at Coinbase. He has also pioneered a novel approach to contact tracing for COVID-19 and created an RL algorithm that won an ML research competition at BuildSys conference by 120%. At Infinitus Systems, Qasim is responsible for creating world-class AI systems to improve healthcare productivity. He has worked as an NLP intern and developed autolabeling tools. Qasim has also built end-to-end tooling using transformer-based models to reduce labeling time by 6x. Qasim has worked with Y Combinator as part of the YC startup school 2019, where he developed HitchHiqe. He has also served as an Engineering Fellow at Kleiner Perkins. Qasim has worked on a ton of projects, failed a bunch, and succeeded at a few. Qasim is a passionate professional who believes in the quote by Nikola Tesla, "The progressive development of man is vitally dependent on Invention." He has relevant experience of 0.60 years and possesses a strong desire to learn and grow in his field.