Summary
Jurat Shayidin is an AI/ML Solution Architect and PhD candidate in Computer Science based in Chicago with a decade of experience translating research-grade machine learning and computer vision into production-ready solutions. Currently leading AI engagements at Accenture after serving as a forward-deployed engineer on Google's Applied AI efforts, he blends hands-on model development with architecture and customer-facing delivery. His background spans bioinformatics, speech recognition, supply-chain forecasting and pricing analytics, reflecting an unusual mix of academic rigor and applied industry impact across Python, R and Julia stacks. He has built reproducible research pipelines and forecasting systems that bridge experimental models and operational dashboards, enabling cross-functional decision making. Comfortable working end-to-end from data engineering to model deployment, Jurat pairs deep technical expertise with a track record of turning complex analytical problems into practical business outcomes.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing University of Posts and Telecommunications
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Chicago
Master of Engineering (M.Eng.), Data Engineering, Master of Engineering (M.Eng.), Data Engineering at Politecnico di Milano
English, Chinese, uyghur