Summary
William Ma is a software engineer with 10 years of experience specializing in productionizing and scaling machine learning systems for advertising and recommendation at companies like Meta and Amazon. He combines hands-on engineering with AWS-centered deployment expertise—SageMaker, EC2, ECS, and Redshift—to turn forecasting and deep learning prototypes into reliable, large-scale services. At Meta he focuses on modern recommendation ecosystems and the content cold-start problem, building solutions that bridge data science research and production constraints. His background includes graduate research in NLP and deep reinforcement learning for story generation, reflecting a rare mix of academic rigor and applied ML engineering. Based in New York, he’s equally comfortable implementing developer-facing analytics and building core model infra, and has a track record of shipping robust validation, tooling, and scalable pipelines.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Regents Diploma with Advanced Designation, Regents Diploma with Advanced Designation at Half Hollow Hills High School East
English, French, Chinese