Summary
Hsiang Lee is a Lead Member of Technical Staff at Salesforce with nine years of engineering experience, currently shaping the Einstein.ai platform and infrastructure. He progressed through roles from intern to lead within Salesforce, blending applied machine learning, NLP (intent recognition and NER), and scalable platform engineering to drive production-ready AI services. His background spans materials science and computer science (including a 4.0 MS from Georgia Tech) and an earlier career in process engineering, giving him a rare mix of experimental rigor and production systems expertise. Based in California, he brings deep cross-disciplinary problem solving—translating research-grade models into robust, large-scale products used across the enterprise.
9 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Chemical Engineering, 3.6/4.0, Bachelor's degree, Chemical Engineering, 3.6/4.0 at National Taiwan University
Master's degree, Computer Science, 4.0/4.0, Master's degree, Computer Science, 4.0/4.0 at Georgia Institute of Technology
Master's degree, Materials Science, 3.4/4.0, Master's degree, Materials Science, 3.4/4.0 at Stanford University
English, Chinese