Suwen Wang

Suwen Wang has extensive experience in machine learning and software engineering, highlighted by roles at CambioML as a Machine Learning Open-Source Contributor, where enhancements in LLM platform integration reduced pipeline latency by 20%. At the University of Illinois Urbana-Champaign, impactful work as a VR Evaluation Intern and Research Assistant streamlined evaluation turnaround time by 50% and reduced query latency by 30%, respectively. Suwen's expertise continued at ASML as a Software Product Engineer, refining distributed processing platforms and automating processes in Linux environments, and also includes engineering ML pipelines during a capstone project with Amadeus that achieved 68% boarding-duration accuracy. Suwen holds a Bachelor of Science in Statistics and Computer Science from the University of Illinois Urbana-Champaign and is pursuing a Master's degree in Artificial Intelligence at UCLA.