About

Shivangi Agrawal is a highly skilled Machine Learning Engineer at Samsung, specializing in the development and deployment of Deep Neural Networks. With a Bachelor's degree in Mathematics & Computing from the prestigious Indian Institute of Technology, Delhi, Shivangi has over 4 years of experience in the field of Machine Learning and Deep Learning. Currently, Shivangi is a part of the Samsung Neural Acceleration Platform (SNAP) team, where she works on acceleration and on-device deployment of Deep Neural Networks. She has also conducted research on Neural Networks Compression Frameworks and has gained extensive experience in software such as ArmNN. Shivangi has worked specifically in the field of Quantization technique to perform inference-specific optimization for DNN Framework. Previously, Shivangi has worked as an intern at Samsung Research Institute, Bangalore, where she was involved in Super Resolution of Images Using Deep CNN. She analyzed existing approaches and explored various models in-depth for 4X zoom, implemented and benchmarked results, and actualized Deep CNN models. Shivangi also explored SRGAN to improve perceptual quality, benchmarked it against other models, and studied MobileNet to reduce run-time. Her outstanding work as an intern earned her a Pre-Placement Offer for the role of Software Developer. Before joining Samsung, Shivangi worked as an intern at the National Trust Organization, where she developed an Android App for Augmented Communication for children with intellectual disabilities to facilitate communication and language development. Shivangi's technical expertise includes ML, ResNet, Neural Networks, CNN, Mobile, Deep Learning, Research Scientist, Software Engineer, and Android. With her strong technical background and demonstrated history of working in Machine Learning and Deep Learning, Shivangi is a valuable asset to any organization she works for.