UW SyFi

Super excited to share that I'll be joining @CarnegieMellon as a PhD student, working with @tqchenml and @ericxing! It has been a wonderful journey at @uwcse @UWSyFi learning and building systems that power frontier AI in production. I want to express my sincerest gratitude to @ye_combinator @tqchenml @luisceze for all the opportunities and guidance along the way, and to many others at UW and CMU who have been hugely encouraging, supporting, and intellectually inspiring me. I wouldn't have made it this far without all of you. Looking ahead, I'm eager to explore how AI-system co-design can advance the capabilities of both sides. On the system side, I believe better abstractions and verification signal design can enable the AI-driven cycle for system improvements. On the model side, I'm interested in how to enable models to perform well in long-horizon, sparse-goal tasks that require periodic knowledge consolidation, like doing system research itself. Always happy to chat and collab! Keep building 🤟

Today's AI agents can diagnose production incidents, but they start from scratch every single time. What if they could remember? New on @acmsigops: our work on the Self-Defining Operator, a multi-agent system with long-term memory for autonomous ops.

Hello, world!

🚀🎙️ New preprint: VoxServe — a streaming-first serving system for SpeechLMs. VoxServe delivers blazing-fast, high-throughput model inference for real-time Text-to-Speech / Speech-to-Speech applications. 🔗 arxiv.org/abs/2602.00269 💻 github.com/vox-serve/vox-…