About

Chen-Hung Wu is an experienced ML Engineer with a solid quantitative background. He is currently the Engineering Manager for ML Platform at Robinhood, where he is responsible for democratizing ML within the company by providing infrastructure, models, and API services necessary to do ML at scale. He is skilled in Ads targeting, personalized recommendation, NLP, scalable ML infra on Kubernetes, Spark, Scala, Python, and C/C++ to ship end-to-end ML applications. Chen-Hung has over 8 years of relevant experience in the industry, having previously worked as a Software Engineer, Machine Learning at Airbnb. At Airbnb, he was responsible for determining the optimal pricing strategies for Airbnb Hosts to effectively manage their listings and achieve their revenue goals. He modeled demand and supply situations in real-time to optimize the overall market efficiency and give valuable insights to Airbnb Hosts. Prior to his work at Airbnb, Chen-Hung was a Research Affiliate at Lawrence Berkeley National Laboratory, where he worked on computational research. He holds a Mathematics Ph.D. from Courant Institute, NYU, and a Bachelor of Science (B.Sc.) in B.B.A. in Finance and B.S. Mathematics (Double major) from National Taiwan University. Chen-Hung is a strong deep learning professional with expertise in ML, senior software engineering, infra, deep learning, NLP, Spark, Kubernetes, software engineering, Python, Scala, research scientist, and C. He is highly skilled in developing and shipping end-to-end ML applications. Chen-Hung is a valuable asset to any organization looking to leverage ML to drive business outcomes.