MSCS @ UIUC · Working on LLM inference systems — quantization, efficient serving, and system–algorithm co-design.
- Improving LoRA correctness and robustness for RL training workflows
- Fixing LoRA kernel numerical issues on Hopper (SM90) GPUs
- Extending LoRA support to prompt logprobs and multimodal models
- Built block-wise quantization-aware distillation (QAD) to recover accuracy in low-bit models
- Working on low-precision quantization schemes such as W4A16 and NVFP4
- Evaluating quantized models on downstream and agentic benchmarks
