About

Jeet Kanjani is an accomplished Research Scientist with over 10 years of relevant experience in the field of Machine Learning. Currently, he is serving as a Research Intern at Tonbo Imaging, a leading technology company that specializes in advanced imaging and sensor systems. Jeet is a highly motivated individual who is always eager to learn and explore new areas of research. He holds a Bachelor's degree in Information Technology from the LNM Institute of Information Technology, where he gained a strong foundation in computer science and programming. Prior to his current role, Jeet worked as a Research Engineer at Oxehealth, a healthcare technology company that provides innovative solutions for patient monitoring. He also served as a Research Intern at the University of Oxford, where he contributed to cutting-edge research projects in the field of computer vision and machine learning. Jeet's technical expertise lies in the areas of Machine Learning, Computer Vision, and Image Processing. He is skilled in developing and implementing algorithms for data analysis, pattern recognition, and predictive modeling. He has also worked on projects involving deep learning, natural language processing, and data visualization. Jeet is a graduate of the Carnegie Mellon University Master of Science in Computer Vision program, where he gained advanced knowledge and skills in the field of computer vision. He is well-versed in industry-standard tools and frameworks such as TensorFlow, Keras, and PyTorch. Jeet is a dedicated professional who is passionate about using his skills and knowledge to make a positive impact in the world. He is a team player who thrives in collaborative environments and enjoys working with people from diverse backgrounds. With his strong technical skills and research experience, Jeet is poised to make significant contributions to the field of Machine Learning and beyond.