About

James Smith is a highly motivated PhD Research Intern at SRI International, with a passion for computer vision and machine learning. He has over 2 years of relevant experience as a Software Engineer and Research Scientist, with a focus on developing innovative solutions for complex problems. James holds a Doctor of Philosophy (PhD) in Machine Learning from Georgia Institute of Technology, where he conducted research on computer vision and machine learning. He also holds a Master of Science (MS) in Electrical Engineering from Auburn University, and a Bachelor of Engineering (BE) in Electrical Engineering with minors in Computer Science and Political Science from the same institution. During his time at Georgia Institute of Technology, James worked as a PhD Student and conducted research on computer vision, developing novel algorithms and techniques for object detection and recognition. He has also worked as a Software Engineer (Machine Learning) at Radiance Technologies, where he developed machine learning models for various applications. James is highly skilled in research, computer vision, and machine learning, with a strong understanding of software engineering principles. He is proficient in Python and has experience with a range of machine learning frameworks and tools. In addition to his technical skills, James is a strong communicator and collaborator, with a proven track record of working effectively in interdisciplinary teams. He is committed to staying up-to-date with the latest developments in his field and is always looking for new challenges and opportunities to learn and grow. Overall, James is a talented and dedicated researcher and engineer, with a passion for developing innovative solutions to complex problems. He is a valuable asset to any team and is sure to make significant contributions to the field of computer vision and machine learning in the years to come.