Summary
Hungyi Li is a software engineer with nine years of experience building cloud-native services and backend systems, currently at Salesforce in New York. He brings strong backend skills in Python, Java, SQL and Django, and practical DevOps fluency with Docker, Linux, Bash and AWS/GCP services such as EC2, S3, Lambda, SQS and BigQuery. A Georgia Tech MS in Computer Science with prior teaching experience in Machine Learning for Trading, he combines rigorous academic training with hands-on production engineering. His background in economics and business information systems gives him a pragmatic view of product trade-offs and data-driven decision making. Notably, he progressed from a Salesforce intern to a full-time engineer, demonstrating rapid impact in large-scale enterprise software.
9 years of coding experience
M.S. in Business Administration, Computer Information Systems, GPA: 3.8 / 4.0, M.S. in Business Administration, Computer Information Systems, GPA: 3.8 / 4.0 at Arizona State University
Master of Science - MS, Computer Science, GPA: 4.0 / 4.0, Master of Science - MS, Computer Science, GPA: 4.0 / 4.0 at Georgia Institute of Technology
Bachelor of Arts, Economics, GPA: 3.8 / 4.0, Bachelor of Arts, Economics, GPA: 3.8 / 4.0 at National Taiwan University