Summary
Shao-hsuan Huang is an Artificial Intelligence Engineer based in Shanghai with nine years of experience applying deep learning and data-driven methods to industrial problems. At CTCI he designs decision-making AI, deploys CNN-based visual defect detection, and builds prognostic diagnostics and process-optimization models that balance product specs and cost. His background in chemical engineering and prior roles in project delivery and petrochemical sales give him uncommon domain fluency for translating production goals into actionable data pipelines and models. Comfortable with Python, Matlab and Aspen, he combines hands-on model development with operational monitoring to close the loop between ML and manufacturing. Colleagues describe his outlook succinctly: "we are data," reflecting a pragmatic, systems-minded approach to AI in industry.
8 years of coding experience
Bachelor of Engineering - BE, Chemical Engineering, 4.19/5, Bachelor of Engineering - BE, Chemical Engineering, 4.19/5 at National Chung Cheng University
Master of Engineering - MEng, Chemical Engineering, 4.01/4.3, Master of Engineering - MEng, Chemical Engineering, 4.01/4.3 at National Tsing Hua University