About

Jingjing Pan is an AI/ML Rotation Engineer at Apple, with a strong background in computer vision and research. With over 3 years of relevant experience, Jingjing has worked on various projects in the field of AI and ML, including multi-object tracking and domain adaptation for semantic segmentation on self-driving datasets. Jingjing's educational background includes a Master of Science in Computer Vision from Carnegie Mellon University, where she specialized in computer vision and gained hands-on experience with technologies like Tensorflow and Pytorch. She also holds a Bachelor's degree in Electrical and Electronics Engineering from the Georgia Institute of Technology, and completed high school at Beijing Number 4 High School. In her current role at Apple, Jingjing is responsible for rotating through various teams and projects related to AI and ML, allowing her to gain exposure to different areas of the field and develop a broad skillset. Prior to joining Apple, Jingjing worked as a Research Assistant at Carnegie Mellon University, where she contributed to projects focused on multi-object tracking and domain adaptation for semantic segmentation on self-driving datasets. Jingjing's technical skills include AI, ML, research, computer vision, and expertise with tools like Tensorflow and Pytorch. She is a highly motivated and detail-oriented individual with a passion for staying up-to-date with the latest developments in AI and ML. With her strong educational background and relevant experience, Jingjing is well-equipped to excel in any role related to AI and ML.