I'm a recent grad from Johns Hopkins studying computer science and applied math.
I'm mostly interested in NLP, probabilistic ML, and computer systems, among other things.
I'm fortunate to be advised by Jason Eisner.
My research has focused on various {algorithm, systems}-level approaches for more efficient LLM inference:
Other fun things I've worked on independently:
I've also done some generalist software engineering in industry:
- 🧱 soon @ Databricks, service mesh and traffic engineering
- 🤖 summer 2025 @ Auctor, long horizon knowledge-worker agents
- 🍎 summer 2024 @ Apple, high-volume ads attribution
- 🔒 summer 2023 @ AWS, formal methods for cloud security