Wonook is currently doing research and software engineering at FriendliAI. His recent research interest lies in systems for efficiently processing AI workloads, especially for LLM inference, through techniques like parallelization, batching, caching, kernel optimizations, and quantization. Before joining FriendliAI, he received his PhD degree in Computer Science from Seoul National University based on his publications and works on distributed systems for data processing and ML applications, with its focus on resource optimizations in diverse environments.
