Summary
Haocheng Yang is an LLM-focused researcher and software engineer with nine years of experience building ML systems across industry and academia, currently interning on LLM research at Meituan while remotely researching multi-agent debate at Carnegie Mellon. A Computer Science student at NUS, he blends practical product work—shipping indie SaaS like GenColoring AI and Morse Coder at $150 MRR—with deep research in agents, RL, recommendation systems, and causal inference from stints at Peking University, SAP, and quantitative research. His background spans applied NLP and symbolic reasoning for LLMs, RL/tool-calling for search, and time-series modeling including LLM-for-timeseries experiments. Comfortable moving between prototyping and production, he brings both entrepreneurial grit and peer-reviewed research instincts to bridge cutting-edge models and deployable systems.
8 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at 新加坡国立大学
苏州中学