I am a third year PhD student in the Department of Electrical and Computer Engineering at Princeton University advised by Prof. Niraj Jha. Before this, I completed my undergraduate degree at The University of New South Wales (UNSW Sydney) in Computer Engineering (Honours) under Prof. Salil Kanhere. In 2026, I spent time at Meta FAIR as a Research Scientist Intern, working with Mark Ibrahim.

I am broadly interested in improving the reasoning capabilities of LLMs and building bottom-up superintelligence. In my free time, I enjoy traveling, hiking, running and reading. Please feel free to get in touch via email if you want to collaborate or discuss any ideas!

news

10/2026	We have released our paper “Don’t Forget What You Just Learned: Self-Directed Repair Turns Agent Mistakes Into Lasting Lessons” — agents reflect and turn their own failures into reusable LoRA skills, improving performance on multiple benchmarks and making recovery more reliable! Work done during my internship at Meta FAIR. 📄
01/2026	We have released our paper “Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning” — a new paradigm to automatically derive reward signals and enabling compositionality!
07/2025	We have released our paper “Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need” — a new paradigm to approach superintelligence! 📄
02/2025	Awarded with the The Hisashi and Masae Kobayashi *67 Fellowship Fund for the 2024-25 Academic Year ✨
09/2024	Moved to the US and started my PhD at Princeton University! 🎉
06/2024	Graduated from UNSW Sydney with a Bachelor in Computer Engineering (Honours Class 1) 👨🏽‍🎓

The best way to reach me is via email :)