Xiangru Fan is a machine learning algorithm engineer with eight years of experience transitioning from computational chemistry to production AI. He currently designs and implements variational Bayesian and ML solutions for JD.com's financial products, combining Python, SQL big-data pipelines, feature engineering, and model training to drive business impact. Earlier work includes real-time, ARM-optimized object detection using shallow neural networks at mindeye.ai and postdoctoral computational chemistry research, giving him uncommon depth in probabilistic modeling and physical-science rigor. Based in Yichang, Hubei, he blends academic PhD-level training in chemical engineering with practical ML deployment experience, and his GitHub persona hints at a playful evolution from “AIchemist” to focused TensorFlow practitioner.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Chemist engineering with minor in computer science, A-, Master of Science - MS, Chemist engineering with minor in computer science, A- at Oregon State University
学士, biotechnology, 学士, biotechnology at 中南大学
博士, chemical engineering, 博士, chemical engineering at Clarkson University
Contributions:9 commits, 7 pushes, 1 branch in 27 days
kerasmtcnn-face-detectionkeras-mtcnnmtcnn
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