Summary
Kelei Jiang is a Machine Learning Engineer with five years of experience focused on accelerating inference for multi-modal visual-language large models. He blends practical engineering with research-oriented optimization to make heavyweight models more deployable and efficient. Based in China, Kelei emphasizes inference acceleration—an often overlooked but critical part of bringing cutting-edge multimodal AI into production. Though early in his career, he demonstrates a clear specialization that positions him well for roles bridging model development and systems optimization.
5 years of coding experience