Summary
Yixian Huang is a software engineer with 10 years of experience specializing in large-scale recommender systems and data-driven product improvements, currently deploying state-of-the-art recommendation techniques at Baidu to boost DAU and CTR. With a strong academic foundation (M.S. in Data Science, 4.0 GPA) and applied experience at Pfizer, IBM, and WPI, he blends production ML, sequence modeling, and practical engineering to extract structure from unstructured data and build interactive analytics tools. His research produced a conference paper on collaborative mobile-cloud inference (CiNet), demonstrating an ability to bridge novel research with real-world efficiency gains. A collaborative team player who enjoys sharing and lifelong learning, he is actively seeking data science opportunities and maintains a public GitHub presence under Cuilie.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BS, Statistics, 86.7/100, Bachelor of Science - BS, Statistics, 86.7/100 at Beijing information Science Technology University
Master's degree, Data Science, 4.0/4.0, Master's degree, Data Science, 4.0/4.0 at Worcester Polytechnic Institute
English, Chinese