Summary
Yilun Wu is a Senior Software Engineer and SRE with six years of experience building production ML and reliability solutions in finance and research environments. Trained at Carnegie Mellon (Stats & ML, MSE) and Duke (MEng AI), he has delivered high‑accuracy predictive systems—from real‑time SQL workload and Dremio cluster forecasting that reached 95%+ precision to U‑Net based crack detection for materials science. At Nomura he moved from internship projects into SRE work supporting Unity Data Warehouse, blending time‑series, ensemble models, and pragmatic engineering to operationalize ML at scale. He also has commercial ML experience in recommender systems and multilingual NLP from SenseTime and startups, and a history of teaching and mentoring data science courses. Notably, he combines deep statistical rigor with hands‑on infrastructure skills, making him adept at turning research models into reliable, observable services.
6 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence, 3.92/4.00, Master of Engineering - MEng, Artificial Intelligence, 3.92/4.00 at Duke University
Bachelor's degree, Statistics & Machine Learning, Materials Science & Engineering, 3.70/4.00, Bachelor's degree, Statistics & Machine Learning, Materials Science & Engineering, 3.70/4.00 at Carnegie Mellon University