Summary
Roger Jiang is a software engineer with nine years of experience building scalable ML training and GPU infrastructure solutions, currently leading ML training capacity efforts at Meta in New York. He previously developed large-scale, reliable GPU accelerator server infrastructure at AWS and helped found Mary AG, where he combined cloud services and hardware integration to deliver end-to-end industrial and home plant incubation systems. His background spans systems development, applied machine learning, and embedded-to-cloud integration, with hands-on experience reverse-engineering vehicle CAN bus protocols and automating data analytics. A University of Waterloo alumnus, Roger blends startup grit with production-grade engineering at hyperscale, and brings a practical knack for turning resource-constrained hardware challenges into scalable software platforms.
9 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at Monash University
Bachelor of Engineering - BE, Electrical and Electronics Engineering, Bachelor of Engineering - BE, Electrical and Electronics Engineering at University of Waterloo
Chinese, Chinese, shanghainese chinese, English