About

Meet Sinojia is a highly motivated and skilled student pursuing a Bachelor's degree in Computer Science and Engineering at Vellore Institute of Technology, Chennai. With a keen interest in competitive coding, Meet has achieved a Pupil rating of 1247 on CodeForces and a 3-star rating of 1653 on CodeChef. Currently, Meet is working as a Samsung Prism Developer Intern, where he is building a model for the detection of the human angle of arrival using UWB sensor images. He is also a member of the Google Developer Student Club VIT Chennai, where he has contributed to competitive coding. In the past, Meet has worked as a Research Intern at Nagasaki University, where he implemented an algorithm based on Semi-supervised few-shot learning to detect eye diseases. He achieved an impressive accuracy of 91.05% on a dataset of 400 images. Meet's education history includes his ongoing Bachelor's degree at VIT, which he is expected to complete in 2024. With a relevant experience of 0.36 years, Meet has developed a strong skill set in research and mobile development. He is a Research Scientist and has experience working with mobile technologies. Overall, Meet Sinojia is a highly motivated and skilled individual with a passion for competitive coding and research. He has a strong track record of academic and professional success and is poised to make significant contributions in the field of computer science and engineering.