About

Mohammed Noman Razvi is a highly skilled Software Engineer currently working at Postman. With a Bachelor's degree in Computer Science from BITS Pilani, Hyderabad Campus, he is a CSE student of the 2021 batch. He boasts of 2.19 years of relevant experience in the field of Software Engineering and has a strong background in Image Processing and Image Segmentation. Mohammed has previously worked as a Software Engineer at Postman and as a Summer Intern at ISRO. During his internship, he worked on a project that involved the automated detection of sand dunes on the Mars surface. His role included creating a dataset from a single MRO HiRISE satellite image, dividing it into smaller images, and applying the image classification technique LBP to differentiate terrain from dune. He also implemented the image segmentation technique U-net and trained it on a dataset of images and their corresponding segmented images. During this project, he gained valuable experience in image processing and classification techniques. In addition to his professional experience, Mohammed has a strong academic background. He completed his schooling at Wood Bridge International School and pursued his Bachelor's degree in Computer Science from BITS Pilani, Hyderabad Campus. During his time at university, he gained a deep understanding of various computer science concepts and developed a strong foundation in software engineering. Mohammed's technical skills include Software Engineering, Image Processing, and Image Segmentation. He is a quick learner and is always eager to learn new technologies and programming languages. He is a team player and has excellent communication skills, which make him an asset to any team he works with. Overall, Mohammed Noman Razvi is a talented Software Engineer with a strong background in image processing and segmentation. He is passionate about his work and is committed to delivering high-quality solutions to his clients.