About

Kunal Dargan is a highly skilled computer vision expert with a Master's degree in Computer Science from the prestigious Indian Institute of Technology, Delhi. He is currently working as a Research Assistant at the same institute, where he is involved in cutting-edge research in the field of medical imaging. With over 3 years of relevant experience, Kunal has worked with top-notch companies like Chegg and Aitoelabs in the past. At Chegg, he served as a Math Expert, where he helped students with Algebra, Trigonometry, Statistics, and Probability Theory. At Aitoelabs, he worked as a Software Engineer and developed video analytics tools like Summarization, Person Re-identification, and Face Recognition using Python, C++, CUDA, Tensorflow, and Keras. Kunal's education history is equally impressive, with a Bachelor's degree in Computer Science from Delhi University and a Student Actuary degree from the Institute and Faculty of Actuaries. He also holds a Nano Degree in Self-Driving Cars from Udacity, where he was a KPIT Scholarship recipient. Kunal's tech stack includes Computer Vision, Research Scientist, Software Engineer, Keras, Python, and Tensorflow. He is highly skilled in these technologies and has used them extensively in his previous roles. With his extensive knowledge and experience in computer vision, Kunal is a valuable asset to any organization. He is a quick learner, an excellent team player, and has a passion for solving complex problems.