Summary
Jason Wei is a Carnegie Mellon undergrad in computer science focused on machine learning, with nine years of engineering experience concentrated on reinforcement learning for LLMs and post-training agent research. He combines hands-on research roles at CMU, Berkeley RISE Lab, and Scale AI with industry internships at ByteDance and Amazon, shipping systems like RAG chatbots and post-training SWE agents. Jason’s work spans ML systems, C++ sequence-sketching libraries, and deep learning inference, reflecting comfort across research and production code. Based in Pittsburgh and known playfully on GitHub as 行走的程序猿, he brings a pragmatic researcher’s mindset to open-ended deep research agents and rLLM development.
9 years of coding experience
High School Diploma, High School Diploma at Horace Greeley High School
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Carnegie Mellon University