About

Ritesh Agrawal is a highly experienced Machine Learning Director currently working at Shipt. With over 10 years of experience in analyzing massive amounts of data and building scalable machine learning solutions, Ritesh has established himself as a leading expert in the field. He has contributed more than 100 technical blog posts and ML book, 13 technical papers, and several national and international conference talks on topics ranging from addressing big data challenges, infrastructure optimization, and machine learning applications. Prior to joining Shipt, Ritesh held senior positions at Varo Bank, Uber, Netflix, and AT&T. At Varo Bank, he led the design and development of the machine learning platform and feature store, and developed a categorization model to identify payroll direct deposits. Ritesh has a strong academic background, with a PhD in Geography (GIS, KM, Information retrieval) from Penn State University, an MS in Transportation Engineering/GIS from the University of Illinois, and a BE in Civil Engineering (GIS) from Visvesvaraya National Institute of Technology. Ritesh is proficient in ML, Big Data, and infrastructure, and has relevant experience of 13.79 years. He has a passion for solving complex problems and developing innovative solutions using cutting-edge technology. With his deep understanding of machine learning and data analysis, Ritesh is a valuable asset to any organization looking to leverage data to gain a competitive advantage.