Inference runtime optimization, Mixture-of-Experts (MoE) caching, hardware-software co-design, model compression, and post-training data alignment.

Low-latency MoE offloading hierarchies, kernel optimization for attention scaling, and fact-grounded SFT data synthesis.

AI research engineer roles, systems residency programs, and open research collaborations on efficient models training.