About

Jawadul Bappy is a highly skilled Software Engineer, Machine Learning at Meta with a research interest in computer vision, applied machine learning, and deep learning. With 4.78 years of relevant experience, he has proven expertise in ML, software engineering, computer vision, research science, and deep learning. Jawadul has worked with renowned companies such as jd.com as a Computer Vision Scientist and homeunion as a Research Intern. He has also completed his Doctor of Philosophy (Ph.D.) in Computer Vision and Machine Learning from the University of California, Riverside, in 2018. Prior to that, he earned his B.Sc. in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology in 2012. As a Software Engineer, Machine Learning at Meta, Jawadul has demonstrated exceptional skills in developing and implementing machine learning algorithms, computer vision models, and deep learning techniques. He has a keen eye for detail and a passion for solving complex problems, making him a valuable asset to any team. Jawadul's TechStack includes ML, software engineering, computer vision, research science, and deep learning. He is a highly motivated individual with a strong work ethic, and his research interests in computer vision, applied machine learning, and deep learning make him a highly sought-after professional in the industry. In summary, Jawadul Bappy is a skilled and experienced Software Engineer, Machine Learning at Meta with a proven track record of success in developing and implementing machine learning algorithms, computer vision models, and deep learning techniques. He is a highly motivated individual with a passion for solving complex problems and a strong work ethic, making him a valuable asset to any team.