About

Jashojit Mukherjee is an AI Developer Technology Engineer at NVIDIA with over 7 years of relevant experience. He is highly motivated and always on the lookout to work closely with cutting-edge technology. Jashojit believes that Computer Vision and Machine Learning are integral to many technological advances of the future, and he is keenly interested in staying on the frontier of that domain. In his current role at NVIDIA, Jashojit works on accelerating Deep Learning pipelines and workloads on NVIDIA GPUs. He is responsible for application level optimization with DL frameworks like Pytorch and Tensorflow, as well as writing custom CUDA kernels and using various libraries and features like cudnn, tensor cores, multi-GPU techniques, and more. Jashojit has previously worked as a Senior System Software Engineer and System Software Engineer at NVIDIA, where he worked on Deep Learning, Computer Vision, and AI in the Self-Driving Cars space. He also worked on NVIDIA's embedded platforms, using technologies like CUDA, CuDNN, and deep learning frameworks like TensorFlow, Caffe, and Torch. Jashojit is also a certified instructor with the NVIDIA Deep Learning Institute, conducting DL training sessions in universities and elsewhere. Jashojit has a strong educational background, with a Computer Vision Nanodegree from Udacity, a Master of Technology (MTech) in Computer Science from the International Institute of Information Technology, a Master of Science (MSc) in Computer and Information Sciences from the University of Calcutta, and a Bachelor of Science (BSc) in Computer Science from St. Xavier's College, Kolkata. He also attended South Point High School. Jashojit's tech stack includes AI, Deep Learning, Computer Vision, Tensorflow, Software Engineering, and Pytorch. He is a highly motivated individual with a passion for cutting-edge technology and a desire to stay on the forefront of technological advancements.