About

Ke Wang is a highly skilled Senior Software Engineer with over 9 years of experience in developing and implementing cutting-edge technology solutions. Currently working at Google, Ke is a key member of the Google Cloud Team, where he has been instrumental in developing software that is both scalable and efficient. He has also been a part of the Google Brain team, where he co-authored SEED RL, a widely acclaimed reinforcement learning library that has been used by researchers across the world. Prior to his current role, Ke worked at Sears Holdings Corporation, where he was a Software Engineer II. During his time at Sears, Ke led a team that built an in-house scalable CRM system that replaced legacy systems and optimized Mongo DB design. He also architected and developed a Tool Box for Order Management System that reduced workload for the app support team and enabled access control and basic security features. Ke has a Master of Engineering (MEng) degree in Biomedical/Medical Engineering from Cornell University, where he also completed a project in Large Scale System. He has also completed a Master's degree in Microelectronics and Microsystems from Hamburg University of Technology, a Master's degree in Business Administration and Management, General from Northern Institute of Technology Management, and a Bachelor's degree in Electrical Engineering and Automation from Nanjing University of Aeronautics and Astronautics. He has also completed a Foreign Semester in Electrical and Electronics Engineering from City, University of London. Ke's tech stack includes expertise in Software Engineering, Tensorflow, Reinforcement Learning, MapReduce, MongoDB, Spring, AI, Java, Salesforce, Integration, Frontend, Backend, AWS, and AngularJS. With his vast experience and technical expertise, Ke is a valuable asset to any organization that he is a part of.