About

Upal Mahbub is an experienced Staff Engineer with over 8 years of relevant experience in the field of Machine Learning and Research Science. Currently, he is working at Qualcomm as a Staff Engineer where he is responsible for developing and implementing machine learning models for various projects. Prior to this, he worked as a Senior Machine Learning Engineer at the same company where he gained expertise in developing and deploying complex machine learning models. Before joining Qualcomm, Upal worked as a Summer Research Intern at Comcast where he gained valuable experience in conducting research on various topics related to machine learning. He has a strong educational background with a Bachelor's and Master's degree in Engineering from Bangladesh University of Engineering and Technology and a Ph.D. in Computer Science from the University of Maryland, College Park. Throughout his career, Upal has gained expertise in various technologies and tools related to Machine Learning and Research Science. His technical skills include expertise in ML, Research Scientist, and other relevant technologies. He has a passion for staying up-to-date with the latest developments in his field and is always looking for new ways to improve his skills. Upal is a highly motivated individual who is dedicated to delivering high-quality work. He has excellent communication skills and is able to work well in a team environment. He is always willing to go the extra mile to ensure that his projects are completed on time and to the highest possible standard. Overall, Upal Mahbub is an experienced and highly skilled Staff Engineer with a passion for Machine Learning and Research Science. He is an asset to any team and is always looking for new challenges and opportunities to expand his knowledge and expertise.