Summary
James Kao is a seasoned software engineer and machine learning practitioner with 11 years of experience building scalable systems at companies including Meta, TikTok, Square, and AWS. He blends backend engineering (Python, Java, SQL, containers, AWS) with applied ML鈥攈aving designed training/evaluation pipelines and production ML services for incident classification and recommendation. As a founding engineer at Motion AI he architected a chatbot SaaS that scaled to 50k+ users and powered integrations for major brands, showing product-minded execution from prototype to large-scale usage. At TikTok he focused on feed quality and creator growth, and at Meta he now contributes to large-scale recommender systems, highlighting his expertise in traffic and content strategy for high-throughput platforms. James holds graduate-level ML training (Georgia Tech MS coursework and Udacity nanodegrees) and is driven to build end-to-end ML systems that continuously learn from complex, massive datasets.
11 years of coding experience
9 years of employment as a software developer
MS Computer Science - Machine Learning, MS Computer Science - Machine Learning at Georgia Institute of Technology
Nanodegree Deep Learning Engineer, Nanodegree Deep Learning Engineer at Udacity
Electrical Engineering, Electrical Engineering at UC Santa Barbara