About

Disha Mehra is a highly skilled Deep Learning Solutions Architect at NVIDIA, with a Master's degree in Computer Science specializing in Machine Learning and Deep Learning from the University of Buffalo. With over 3.60 years of relevant experience, Disha's work revolves around assisting enterprise customers who are developing deep learning solutions at scale. Disha's expertise lies in developing machine learning models and algorithms for recommendation systems, content-based filtering, collaborative filtering, alternating least squares, hybrid methods, and deep learning techniques. She has also worked on developing a recommendation system based on the purchase history of customers along with the similar item recommendations. Disha has programmed a Flask API to connect the MongoDB database with the machine learning model and built and managed MongoDB databases. In addition to her work on recommendation systems, Disha has also developed a machine learning model to identify the missing item on the shelf and raising an alert that provides the exact shelf location along with the item name which is out of stock. She has researched object detection algorithms to identify different items on the shelf, and her work on object detection includes using Python, Atom, OpenCV, Tensorflow, and Keras. Before joining NVIDIA, Disha worked as a Machine Learning/AI Engineer Intern at Infovision Inc. where she gained experience in developing a recommendation system for retail and out of shelf stock detection. She also worked as a student employee at Crossroads Culinary Center, where she gained knowledge about work culture and ethics, team spirit, and a sense of punctuality. Disha's technical skills include Deep Learning, Senior Software Engineering, ML, MongoDB, Python, Flask, AWS, AI, Object detection, Keras, OpenCV, and Tensorflow. Her strong background in computer science and machine learning, combined with her experience in developing complex machine learning models, make her an invaluable asset to any organization.