I contribute production-oriented fixes and performance work across the modern LLM training and serving stack.
Training reliability
- Stabilized Newton–Schulz updates for small-norm Muon inputs in NVIDIA NeMo Emerging Optimizers #230.
- Fixed recompute propagation and hybrid Mamba + attention + MoE runtime paths in vLLM/Vime #337.
- Added order-preserving packing, NCCL warmup, and Muon correctness fixes across ModelScope ms-swift #9598, #9602, #9599, and #9591.
Long-context and RL systems
- Fused GatedDeltaNet Q/K normalization for 128K SFT in Megatron-LM #5396.
- Added selective Mamba recompute, validated on 8×B200, in Megatron-LM #5463.
- Sanitized non-finite rollout log probabilities in NeMo RL #2962.
- Hardened hybrid-model weight reloads in SGLang #31621.