About

Nirav Bhan is a Research Engineer at Amazon with a passion for mathematics, algorithms, and machine learning. With almost five years of relevant experience, Nirav has worked with some of the leading companies in the field of artificial intelligence and machine learning. Nirav's current role at Amazon involves conducting research in the field of machine learning and developing algorithms to improve the performance of existing systems. Prior to joining Amazon, Nirav worked as a Deep Learning Engineer at Nanonets, where he developed models for image and text classification using NLP and deep learning techniques. He also worked as a Graduate Teaching Assistant for Intro to Machine Learning at the Massachusetts Institute of Technology, where he helped students understand the fundamentals of machine learning and supervised their projects. Nirav's educational background includes a Bachelor's degree in Electrical Engineering from IIT Bombay and a Master's degree in Computer Science from the Massachusetts Institute of Technology. During his time at MIT, Nirav gained expertise in various machine learning techniques, including supervised and unsupervised learning, deep learning, NLP, and text classification. Nirav's technical skills include expertise in Python, Java, Tensorflow, Keras, Scikit, and Jupyter, among others. He is also proficient in Docker and has experience working as a Data Scientist and Software Engineer. Nirav's experience in developing neural networks and his knowledge of various machine learning techniques make him a valuable asset to any organization. Overall, Nirav is a highly skilled Research Engineer with a passion for developing innovative solutions using machine learning. His expertise in various machine learning techniques, programming languages, and software tools makes him an ideal candidate for any organization looking to develop cutting-edge solutions in the field of artificial intelligence.