Son Le

Son Le is a data science professional with a solid foundation in machine learning and data engineering. Experience includes roles as a Machine Learning Trainee at Nokia, where R&D efforts focused on causal machine learning for cloud-native applications, and as a Data Engineering Intern at Tradition, contributing to the development and maintenance of a data platform using a variety of technologies. As a Student Researcher at Aalto University, Son Le concentrated on probabilistic and causal machine learning, co-authoring a publication for AISTATS 2024. Current endeavors include a master thesis at Oracle, focusing on fine-tuning LLM agents, and various roles as a Member of Technical Staff and Research Intern in developing AI agents and workflows. Son Le earned a Bachelor of Science in Computer Science from Aalto University and is pursuing a Master of Science in Data Science at EPFL, consistently achieving high academic performance.