Summary
Jifu Zhao is a Machine Learning Engineer with 11 years of experience who combines a Ph.D. in Nuclear Engineering from UIUC with deep expertise in data science, ML/DL, and applied statistics. Currently at Snap, he has built production-ready machine learning solutions after prior roles developing recommender systems, NLP models, and anomaly detection pipelines at Verizon Media and in academic research. His research work bridged nuclear sensor networks and ML—developing algorithms for radioactive source localization and CNNs for isotope identification—which reflects an unusual mix of domain physics and modern deep learning. He has a strong track record in scalable data pipelines, Hadoop-based recommender implementations, and practical model engineering from prototype to deployment. Based in Seattle, Jifu brings both rigorous quantitative training and hands-on product experience, often improving model performance through creative feature engineering and fine-tuning on large real-world datasets.
11 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (BEng), Nuclear Engineering and Technology, 3.93/4.30, Bachelor of Engineering (BEng), Nuclear Engineering and Technology, 3.93/4.30 at University of Science and Technology of China
University of Illinois Urbana-Champaign
English, Chinese