About

Andrew Dodd is a highly skilled Senior Machine Learning Engineer with over four years of experience in the field of Machine Learning and six years of experience in Engineering. He holds a Master's degree in Mechanical Engineering with a focus on Robotics from Cornell University and is currently pursuing a Master of Science degree in Computer Science with a focus on Machine Learning from the Georgia Institute of Technology. Andrew is passionate about Machine Learning and enjoys building new ideas and end-to-end solutions. He has experience working with diverse data types such as Image, Finance, and Text data. Andrew has worked with multiple companies, including Vianai Systems and Koios Medical, where he has contributed to building AI enterprise solutions and developing machine learning and computer vision algorithms for cancer detection. Andrew's technical skills include Machine Learning, Artificial Intelligence, and Computer Vision. He has a solid understanding of various Machine Learning models and algorithms and can implement them in real-world applications. Andrew's ability to analyze complex data and develop innovative solutions has made him a valuable asset to his team. Andrew's education and experience have equipped him with the necessary skills to excel in his current role as Senior Machine Learning Engineer at Meta. He is responsible for developing and implementing Machine Learning algorithms to improve Meta's products and services. Andrew's strong technical skills and experience have enabled him to contribute significantly to Meta's success. In summary, Andrew Dodd is a highly skilled and passionate Senior Machine Learning Engineer with a strong educational background and diverse work experience. His technical skills, experience, and passion for Machine Learning make him an excellent asset to any team.