Summary
Austin H is an operations-focused AI practitioner with 11 years of experience currently working on research operations, human data, and AI safety at Magic AI. He previously led strategic GenAI coding projects at Scale AI contributing to data for frontier models like Llama 4, Grok 4, and Gemini 3, and combines that industry experience with a strong academic foundation from UC Berkeley in CS and Data Science. Comfortable at the intersection of engineering, research, and governance, he’s pursued applied alignment work across fellowships and contributed to LLM experimentation in conversational style emulation and synthetic data projects. Austin also brings startup and VC exposure as a co-founder and venture scout, and has applied ML in diverse domains from DFMEA analysis at Rivian to NLP for clinical notes. He’s particularly interested in SWE agents, synthetic data generation, and multi-agent systemic alignment, blending pragmatic ops skills with technical curiosity.
11 years of coding experience
1 year of employment as a software developer
Bachelor's degree Computer Science and Data Science, Bachelor's degree Computer Science and Data Science at University of California, Berkeley
Master's degree Information and Data Science, Master's degree Information and Data Science at UC Berkeley School of Information
Dual Enrollment, Dual Enrollment at Cañada College
High School Diploma, High School Diploma at Henry M. Gunn High School
English, Spanish