Summary
Di Shen is an AI engineer with 11 years of hands-on software development and QA experience, currently applying machine learning and product engineering at Avetta after eight years building Alexa capabilities and data systems at Amazon. He blends strong Java and functional-programming skills with front-end expertise (notably building a large-scale SaaS UI in Elm) and a pragmatic QA-first mindset that reduces debugging and improves product quality. Comfortable across the stack, he has driven automation, localization, and CI improvements while collaborating closely with backend teams to shape data structures and user-facing features. A quick learner with a Master's in Computer Science, he pairs rigorous engineering practices with clear communication and a habit of modularizing interfaces for long-term reuse.
11 years of coding experience
18 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at California State University, Los Angeles
University of California, San Diego
elm, python, java, javascript, sql