About

Divy Mohan Rai is a Full-Stack Developer with a keen interest in the field of Software Development and Machine Learning. He is currently working as an SDE-2 at Refyne India, where he is proficient in Python, PyTorch, Typescript, React, Nest JS, Next JS, and AWS. Divy is passionate about solving real-life problems using development and aims to learn new things in the process. Currently, Divy is working as a Computer Vision Intern at Precision Electronics Limited, where he has worked on a Face Recognition Based Attendance System. He deployed a Face Recognition Software using Machine Learning and Computer Vision as the backend and Tkinter as the frontend. The project was deployed on a Raspberry Pi, which led to a 40% savings in the overall cost. Divy also drove operational improvements, resulting in savings and improved profit margins. In the past, Divy has worked as a Subject Matter Expert (Advanced Mathematics) at Graveiens Eduservices Pvt Ltd, where he answered 300+ complex questions on different platforms, including Chegg. He has also worked as a Machine Learning Engineer at Omdena, where he worked on the challenge to identify the reason for increasing dumpsites throughout the world and finding ways to make citizens aware of the recycling guidelines. Divy worked on various phases of the project from data collection to model deployment and deployed an Image Recognition classifier using InceptionV3 architecture with more than 20 classes, achieving an overall accuracy of 94.6%. Divy holds a Bachelor of Technology degree in Information Technology from Maharaja Agrasen Institute of Technology. He also has a High School Diploma in Computer Science from Modern Convent School. Divy's tech stack includes Software Engineer, ML, AWS, Python, Typescript, Pytorch, Object detection, and Object Detection. With 2.19 years of relevant experience, Divy is a dedicated and hardworking professional who is always eager to learn and grow in his field.