About

Xiaocong D. is a Ph.D. candidate in Electrical Engineering at Arizona State University, with a research and industry background in efficient Deep Learning. Currently a Senior Machine Learning Engineer at meta, Xiaocong is responsible for developing efficient deep learning models for Ads ranking and Reels models at scale. With 2.69 years of relevant experience, Xiaocong's expertise lies in Machine Learning, NLP, Deep Learning, Computer Vision, and infra. He is a proficient Research Scientist, with a strong background in developing and implementing novel solutions to complex problems. Xiaocong has previously worked as a Research Assistant at Arizona State University, where he gained valuable experience in conducting research and developing algorithms for deep learning. His Ph.D. advisor was Professor Yu (Kevin) Cao, who is a renowned expert in the field of Deep Learning. Xiaocong holds a Doctor of Philosophy degree in Electrical Engineering from Arizona State University, a Master of Science degree in Electrical and Computer Engineering from the University of Pittsburgh, and a Bachelor of Science degree in Automation from Shandong University. Xiaocong is currently seeking full-time jobs in Machine Learning, Computer Vision, and NLP. As a Machine Learning research intern at Facebook, he has honed his skills and gained valuable experience working in a fast-paced, dynamic environment. He is passionate about leveraging his expertise to develop innovative solutions and contribute to the field of Deep Learning.