Summary
Jonathan Yang is an AI engineer with eight years of experience applying machine learning to interdisciplinary problems, from computer vision research at the Max Planck Institute to building AI-native ERP features at Everest Systems. He has end-to-end experience in model training, evaluation and deployment for detection, pose estimation and multi-object tracking, and has co-authored papers at top venues like CVPR and NeurIPS. His work spans NLP pipelines—benchmarking open models and orchestrating LangChain-based classifiers—to practical data-analysis tooling and interactive visualizations developed during academic posts. Comfortable bridging research and product, he focuses on type-safe, reproducible pipelines and developer-friendly AI assistance in the software development lifecycle. Based in Guangzhou with European research experience, he blends rigorous academic training with product-oriented engineering and a penchant for ambitious, cross-cultural projects.
8 years of coding experience
3 years of employment as a software developer
MSc. Computer and Information Science, Data Science, MSc. Computer and Information Science, Data Science at University of Konstanz
High School Diploma, High School Diploma at Chengdu Shude High School
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Sun Yat-sen University
Erasmus Exchange, Deep Learning / Data Science, Erasmus Exchange, Deep Learning / Data Science at Charles University
Chinese, English, German