About

Kedar Tatwawadi is a highly experienced Machine Learning Video Engineer currently working at Apple. With a career spanning almost 6 years, Kedar has developed a wealth of knowledge and expertise in the field of ML and Research Science. Kedar's academic background includes a Master of Science in Electrical Engineering from Stanford University, where he also completed his PhD studies in Data Compression, Artificial Intelligence, and Deep Learning. Prior to this, Kedar completed his Bachelor of Technology and Master of Technology in Electrical Engineering from the Indian Institute of Technology, Bombay. Kedar's professional experience includes working as an Adjunct Lecturer at Stanford University, where he designed and taught a new graduate-level course in Data Compression. He also worked as a PhD Student at Stanford University, where he focused on research in Artificial Intelligence and Deep Learning. In his current role at Apple, Kedar is responsible for developing and implementing cutting-edge ML technologies to enhance video quality. He is an expert in ML and Research Science and has a strong understanding of the latest industry trends and best practices. Kedar's technical skills include ML and Research Science, and he has a strong understanding of various programming languages and tools. He is a highly analytical thinker with excellent problem-solving skills and is always looking for new and innovative ways to improve his work. Overall, Kedar is a talented and highly experienced Machine Learning Video Engineer with a strong academic background and a wealth of professional experience. He is a valuable asset to any organization and is committed to delivering exceptional results in his work.