About

Rahul Chaurasia is a highly skilled and experienced Machine Learning Engineer currently working at Amazon. With over 4 years of combined experience in software engineering, machine learning, deep learning, computer vision, NLP, and information retrieval, Rahul is a data science professional with a strong focus on cutting-edge research. Throughout his professional experience, Rahul has built end-to-end deep learning powered products from scratch, involving data engineering, deep learning architecture design, and deep learning model deployment across various domains like Agri-tech, Healthcare, Document AI, and more. Prior to joining Amazon, Rahul worked as a Software Engineer (Machine Learning) at Soroco and as an NLP and A.I. Consultant at Webshar. During his time at Webshar, Rahul converted high-level business problems into various NLP problems, worked on problems like NER, text classification, detection and localization of temporal events using BERT-based models, and built web crawlers and data cleansing pipelines for extracting caregiver data to boost the accuracy of various models. Rahul also designed, developed, and deployed the entire NLP engine from scratch on AWS ECS. Rahul holds an Engineer's Degree in Electronics and Communications Engineering from the Institute of Engineering and Management, where he was enrolled from 2014 to 2018. Rahul's technical expertise includes ML, deep learning, NLP, information retrieval, computer vision, AI, data engineering, data scientist, research scientist, software engineer, AWS, BERT, text classification, ECS, and web. With relevant experience of 4.78 years, Rahul is a highly talented and accomplished Machine Learning Engineer with a strong passion for solving complex problems using cutting-edge technologies.