About

Hansal Shah is an AI/ML Resident at Apple and Self Driving expert at Uber ATG with a passion for Deep Learning and Computer Vision. With 1.35 years of relevant experience in the field, Hansal is an expert in developing and applying knowledge of AI, ML, Computer Vision, and Deep Learning to solve challenges for the betterment of society. Hansal's educational background includes a Master of Science in ECE with a focus on Signal and Image Processing and Machine Learning and a Bachelor's degree in Electronics and Communication Engineering from NIT Surathkal. He also attended DPS-MIS, Doha, for his secondary education. Hansal has worked as a Graduate Student Instructor at the University of Michigan, where he taught EECS 442 - Computer Vision by David Fouhey and Justin Johnson and EECS 442 Computer Vision by Andrew Ownes. These experiences have honed his teaching and communication skills, making him an effective communicator and team player. Hansal's technical skills include AI, ML, Computer Vision, and Deep Learning. He has hands-on experience in developing and deploying deep learning models for computer vision applications. He is also proficient in programming languages such as Python and C++. Hansal's passion for AI and ML has led him to work on several projects aimed at improving the well-being of society. He is a quick learner, a problem solver, and a team player who thrives in a collaborative environment. His expertise in AI and ML, coupled with his passion for making a difference, makes him an invaluable asset to any team.