Prabhat is working at Target as a Sr. Engineer in Machine Learning - Computer Vision Domain. "solving theft, fraud and organized retail crime problems at target stores using machine learning and computer vision. I was also part of the MLops team to develop target in-house feature storage platform." Previously, he was associated with TCS Research and Innovation, primarily working there in the domain of ML, Data Analytics and AI Engineering. Areas of Interest: - Machine Learning - Computer Vision - Image Processing - Natural Language Processing - Distributed AI - ML Ops During his stint at TCS R&I, he was responsible for executing multiple POCs and POTs; writing core AI algorithms to extract information from unstructured data like images, speech, and videos for the computer vision platform. Some key algorithms upon which he has worked: extracting data from the variable format of the invoice, legal documents, proof of identity documents, beauty, food packets, and other retail product images, hiding sensitive information from videos, noise suppression in speech data, etc. He keeps himself updated with the latest trends and state-of-the-art works in the domain of AI and computer vision.