About

Francisco Garcia is a highly skilled Sr. Machine Learning Researcher with a strong background in Computer Science. Currently, he is working at Roku, where he is responsible for developing and implementing advanced machine learning algorithms to improve user experience and engagement. With over 3 years of relevant experience, Garcia has developed a deep understanding of the ML domain and has a proven track record of delivering high-quality solutions that meet business objectives. Prior to joining Roku, Garcia worked at Amazon as a Machine Learning Researcher, where he was involved in developing and implementing natural language processing (NLP) models to improve customer experience. Before that, he worked as a Research Intern at Microsoft, where he gained valuable experience in developing machine learning models for image classification and object detection. Garcia holds a Doctor of Philosophy (PhD) in Computer Science from the University of Massachusetts, Amherst, where he specialized in developing advanced machine learning algorithms for computer vision applications. He also holds a Master of Science (M.Sc.) in Computer Science from the same institution, where he focused on developing deep learning models for speech recognition. Additionally, he holds a Bachelor's degree in Computer Science from the University of the Sciences in Philadelphia. Garcia's technical skills include ML and Research Scientist, and he has a strong understanding of various programming languages and tools such as Python, TensorFlow, and PyTorch. He is passionate about solving complex problems and is always eager to learn new technologies and techniques to improve his skills. Overall, Francisco Garcia is a talented Sr. Machine Learning Researcher with a strong academic background and relevant industry experience. He is a valuable asset to any organization and is always eager to take on new challenges and push the boundaries of what is possible in the ML domain.