About

Deepanshu Singh is a passionate Machine Learning Engineer with expertise in Deep Learning Compiler-GPU, AI Accelerators, TVM, Speech Enhancement, and a strong focus on model development from scratch for various vision and speech-related applications. With over 3.11 years of relevant experience, Deepanshu has a keen interest in going deeper into the very unit level of Deep Learning architectures. Deepanshu has a strong knowledge and expertise in Generative networks, supported by his first in the industry GAN architecture bgenie-GAN. Currently, he is working with the machine learning compiler design team for low power AI accelerators at ceremorphic. Prior to this, Deepanshu has worked as a Sr. Computer Vision Engineer and Computer Vision Engineer at spyne. He has a Master of Technology degree in Signal processing and Machine Learning from the Indian Institute of Technology Gandhinagar. With a tech stack that includes ML, AI, Research Scientist, Deep Learning, GAN, and Computer Vision, Deepanshu is a highly skilled professional with a passion for innovation. He is driven by the desire to make a positive impact in the field of Machine Learning and is always looking for new challenges to overcome.