Summary
Alistair Cheong is a Carnegie Mellon Computer Science undergraduate and research engineering intern focused on agentic AI, automated discovery systems, and scalable oversight, with nine years of experience spanning ML, software engineering, and scientific research. He leads a NeuLab team investigating meta-learning and open-endedness, and has co-authored work on LLM adaptation and reasoning failure modes. At LithosAI he builds self-improving agents that learn from feedback, and his internships include creating a state-of-the-art natural language video search and a production-grade PDF parser with substantial accuracy improvements. His background includes military leadership in Singapore’s SAF, where he combined command training with applied data science for HR outcomes—an uncommon mix of operational leadership and ML practice. Outside engineering he cultivates creative pursuits like beatboxing, astrophotography, and art, which inform a multidisciplinary approach to problem solving.
9 years of coding experience
Bachelor of Science, Computer Science, Bachelor of Science, Computer Science at Carnegie Mellon University
GCE A-Levels, GCE A-Levels at Hwa Chong Institution
English, Chinese