Hi, I'm Kingsley Kim. I'm an UVA alum working at Sail Research, interested in kernel optimization and LLM research. I've worked under Chen-Yu Wei on RL and LLM post-training as well as training more efficient Process Reward Models.

Things I've worked on:

• Published an ICLR Workshop Paper on training data-efficient Process Reward Models for LLM post-training
• A more applied paper on Transformers on Time Series, AAAI 2024 Workshop

Code:

• Opensource H100 CUDA Kernels for the Gated Delta Net arch repo, check blog for more details
• A minimal dependence CUDA inference engine for H100s (WIP) repo
• A minimal repo to learn FP8 and BF16 MoE optimizations (WIP, worklog soon) repo
• RL applied to control problems
• Research on mini-VLMs for 'social navigation' in robots repo

Contact: