Summary
Xingjian Li is a software engineer based in Singapore with five years of experience building and operating AI infrastructure and LLM inference platforms. Currently at ByteDance, he transitioned from site reliability work on GPU and ML clusters to engineering LLM inference and AI infra, reflecting deep hands-on expertise across both systems and model-serving layers. He has practical background in backend systems, APM, and full-stack intern experience with .NET Core and Angular, which helps him bridge developer needs and production reliability. Known for moving quickly between roles and responsibilities, he often works at the intersection of performance tuning, cluster orchestration, and scalable model deployment. As an NTU computer science undergraduate, he pairs strong academic foundations with rapid product-driven learning in fast-paced AI environments. A subtle strength is his ability to translate SRE practices into efficiencies for model-serving pipelines, reducing friction between research models and production systems.
5 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Nanyang Technological University Singapore
English, Chinese