About

Arvind Sridhar is a highly motivated and accomplished Deep Learning Researcher with a strong background in software engineering, machine learning, and product management. He is currently a Graduate Teaching Assistant at Stanford University School of Engineering, where he is helping teach CS 221 Artificial Intelligence this autumn, with Percy Liang and Dorsa Sadigh. Arvind is passionate about leveraging technology to solve problems and make the world a better place, and is always looking for opportunities to create meaningful and impactful products. Arvind has previously worked as a Deep Learning Researcher at UC Berkeley College of Engineering, where he worked with Dr. David Wagner and Chawin Sitawarin to develop certified robustness guarantees for NNs under adversarial attack, for applications in secure computer vision. He has also worked as an Undergraduate Student Instructor at UC Berkeley College of Engineering, where he led discussion/tutoring sections with 30+ students, held office hours, designed homework and exam problems, created content (course notes, etc.), and maintained Piazza forum for CS 189 - Introduction to Machine Learning (Spring 2021), CS 188 - Introduction to Artificial Intelligence (Fall 2020), and CS 189 - Introduction to Machine Learning (Spring 2020). Arvind holds a Master of Science (MS) degree in Computer Science from Stanford University, as well as a Bachelor of Science (BS) degree in Electrical Engineering and Computer Science from the University of California, Berkeley, and a BS in Economics, Finance, and Business Administration from the University of California, Berkeley, Haas School of Business. He also completed his high school education at Bellarmine College Preparatory. Arvind's technical skills include Deep Learning, AI, ML, Research Scientist, Software Engineer, product manager, and Computer Vision. He has relevant experience of 1.52 years and has published 2 first-author publications at workshops at ICML 2021 and ICLR 2021 highlighting his work. Arvind is a Kleiner Perkins Fellow and has worked with top companies such as NVIDIA, Uber ATG, Nuro, Citadel, and Argo AI. He is a highly driven individual who is always eager to learn and grow, and is committed to making a positive impact on the world through his work.