About

Deep Mehta is a highly motivated and passionate Machine Learning Engineer/Software Engineer with a focus on Computer Vision and Perception. He is currently pursuing a Master of Science degree in Computer Science from New York University, where he also works as a Graduate Teaching Assistant. With over 3 years of personal and course experience in Computer Vision, Deep is skilled in Python, Deep Learning, Computer Vision, Autonomous Vehicles - Perception, and Object Detection. Deep is an aspiring Machine Learning Engineer with a can-do and dream-chasing attitude. He is interested in all Deep Learning-based roles that revolve around Computer Vision, with Perception being his strongest skill. He is eager to learn and sees himself working at a start-up due to the high learning curve they provide, which allows for both self-growth and increased value for the company. Deep is passionate about cutting-edge technology and solving real-world problems, especially in domains involving autonomous robots such as Vehicles, Drones, and Bots. In addition to his academic and professional pursuits, Deep loves to write technical blogs, specifically in the Computer Vision domain. He has published several articles on his website, Byteiota, which showcase his knowledge and expertise in the field. Deep's ideal work environment involves creative ideas, brilliant colleagues, challenging problems, crazy brainstorming sessions, and post-achievement celebrations. Deep's past experience includes working as a Teaching Assistant for Data Structures and Introduction to Deep Learning Systems courses at New York University. He has also completed his Bachelor of Engineering degree in Computer Science from the University of Mumbai. Deep's TechStack includes ML, Computer Vision, Software Engineer, Deep Learning, Object detection, Python, CNN, and Object Detection. Overall, Deep Mehta is a highly skilled and motivated individual with a passion for Machine Learning and Computer Vision. He is always eager to learn and grow while solving real-world problems with cutting-edge technology.