Haohan Wang is currently a PhD candidate, research assistant in School of Computer Science in Carnegie Mellon University. Before that he received a bachelor degree in computer science in Beijing University of Posts and Telecommunications. He has a variety of experience software development especially focused on the areas of applied machine learning and data mining. As a research assistant, his primary focus is to apply machine learning to understand real world data and solve real world problems. Also, he has experience solving real world problems with Big Data technology including Hadoop/MapReduce, PIG, HIVE. ©

Looking to solve real problems around engineering scale, stewardship, sustainability? Amazon proudly serves millions of customer every day, around the globe. The platforms by which our consumers search, order, and receive their products and services is an amazingly scalable ecosystem. Our challenges continue to scale with our systems, and we need Senior level Software Engineering stewards (Typically 9 years or more increasingly responsible engineering experience) to own business impact, make others better, and solve large business problems. Challenges across personalization, inventory, payments, sellers, and fraud/authenticationcontinue to meet us at the door each day. Our Senior engineering talent will drive innovation and optimization, while collaborating and mentoring across businesses. Our teams reach across SEA, SFB, Orange County, Phoenix, Tempe, Austin, New York, Toronto, and Vancouver BC. These roles are not necessarily listed on our careers site; Instead- I offer informational discussions where I can share team charters at a high level, and perhaps learn more about what could be compelling to the individual. There are multiple teams across Consumer who have the capability to tailor roles to the individual based on offerings and development. hatte(at)amazon(dot)com ©