About

Rakesh Jasti is a highly skilled Machine Learning Engineer with over 3 years of experience in developing solutions for Computer Vision and Machine Learning problems. He is proficient in Python and C++ and is always eager to learn new technologies and techniques that can help him solve complex problems. Currently working at Cruise, Rakesh is focused on developing computer vision models to address visual understanding problems for self-driving cars. He has a strong background in Computer Vision and has worked on several projects related to image enhancement and optical artifact removal for Under Display Cameras (UDC) during his time as a Computer Vision Research Intern at SenseTime. Rakesh is also an experienced Graduate Teaching Assistant, having taught courses in Computer Architecture, Computer Networks, Operating Systems, and Math Center at the University of California, Merced. He has a Master's degree in Computer Science from the University of California and a Bachelor's degree in Pulp and Paper Technology from IIT. In addition to his academic and industry experience, Rakesh has a strong tech stack that includes ML, Computer Vision, CNN, and Python. He is a research scientist who is passionate about solving complex problems and developing innovative solutions that can make a difference in people's lives. Overall, Rakesh Jasti is a highly skilled and motivated Machine Learning Engineer with relevant experience of 4.6 years. He is always looking for new challenges and opportunities to grow his skills and expertise in the field.