Xiaoyong Jin is a research scientist with a decade of experience applying machine learning to time series, log streams, and geospatial problems, currently at AWS AI Labs in Kirkland. He holds a PhD in computer science from UC Santa Barbara and a top‑ranked bachelor’s in applied mathematics from Zhejiang University. His work bridges foundation models and production systems—tokenizing rule‑parsed logs for LLM-based anomaly detection, fine‑tuning large vision models pretrained on geospatial data for road extraction, and proposing hybrid attention and adaptive de-trending architectures for time-series forecasting. Prior internships at Visa and AppFolio produced practical solutions in fraud detection and OCR, demonstrating a consistent focus on turning research into product impact. He is particularly interested in scaling foundation models across heterogeneous modalities and handling domain shift in deployed systems.
10 years of coding experience
8 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at UC Santa Barbara
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of California, Santa Barbara
Bachelor’s Degree, Applied Mathematics, rank 1st, Bachelor’s Degree, Applied Mathematics, rank 1st at Zhejiang University
Contributions:7 pushes, 1 branch in 1 year 10 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.