Summary
En-chi Lo is an AI and data science leader based in Taiwan with nearly a decade of experience building production ML systems and leading analytics teams at Shopee and BenQ. He has driven measurable business impact—from architecting sales estimators for 400+ competitors to cutting review-sentiment extraction time from eight hours to 30 seconds using LSTM and NLP—while scaling data pipelines and dashboards that reduced manual insight extraction by 90%. Comfortable bridging research and product, he has applied time-series, deep learning, computer vision and graph analysis across e-commerce, manufacturing and marketing use cases. A hands-on manager, En-chi combines industrial engineering training (University of Pittsburgh, NCTU) with a knack for pragmatic automation and process improvement honed earlier at TSMC and in operational roles. Notably, he generated synthetic review data to boost classifier accuracy and built image-based tools that enabled automated web crawling—examples of his practical creativity in squeezing value from messy data.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (BEng) Industrial Engineering, Bachelor of Engineering (BEng) Industrial Engineering at National Chiao Tung University
Master of Engineering (MEng) Industrial Engineering, Master of Engineering (MEng) Industrial Engineering at University of Pittsburgh
English, Chinese