Summary
Ray Hung is a pragmatic software engineer and entrepreneur with eight years of experience building scalable ML and infrastructure systems across companies like Databricks, Scale AI, Meta, Amazon and as a NASA-affiliated student lead. Currently a Member of Technical Staff at Decagon, he combines full-stack product execution with deep ML-serving expertise—having reduced LLM cold starts by 6x, shipped multi-model serving features, and built model-serving dashboards and infra at scale. He founded Socratic Mind, an award-winning AI oral-assessment startup, and in research roles at Georgia Tech developed anti-cheating detection tools that caught systematic academic misconduct in large courses. Ray’s background spans systems-level C++ shims for model-less inference, Golang tooling to accelerate knowledge-graph builds, and hands-on AWS/Pulumi/Docker infra work, reflecting a knack for turning research insights into production-grade services. Based in Oakland and active in web3 and education-tech communities, he blends product-minded engineering with practical security and compliance considerations.
8 years of coding experience
5 years of employment as a software developer
Sophomore year Computer Science, Sophomore year Computer Science at De Anza College
Freshman year (Dropped Out) Chemical Engineering, Freshman year (Dropped Out) Chemical Engineering at National Taiwan University
Master's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
High School Diploma, High School Diploma at Taipei Municipal Jianguo High School
Chinese, English