Yi Yang

Yi Yang is a skilled software engineer specializing in machine learning, currently employed at Nesa.ai since September 2024, focusing on building security pipelines for decentralized LLM inference. Prior experience includes a teaching assistant role at the University of Illinois Urbana-Champaign, where discussions and assessments were conducted in an undergraduate Watershed Hydrology course. As a graduate researcher at the same institution, Yi Yang developed computational models of land-atmosphere interactions, improving the efficiency of models related to plant transpiration and utilizing remote sensing data to enhance simulation accuracy. A recent internship as a machine learning engineer at PAII involved developing vision-language models for remote sensing imagery and creating a benchmark dataset. Yi Yang also has experience as a data scientist at Google since November 2024. Academic qualifications include a Bachelor's degree in Hydraulic Engineering (Top 5%) and a Bachelor's degree in Economics from Tsinghua University, along with a PhD in Environmental Science from the University of Illinois Urbana-Champaign.