I work on machine learning systems and AI software.

I am Zhenlin Wang (Criss). I graduated as an MS student from the Machine Learning Department at Carnegie Mellon University. I have a strong passion for machine learning and AI-powered software. Recently I have been drawn to performance optimization of deep learning systems and AI tools, especially distributed systems and MLOps for foundation models and large language models.

At CMU, I collaborated with Bryan Lu, Yilong Qin, and Andrew Shen on out-of-distribution detection for deep learning models. Before CMU, I graduated with First Class Honor from the National University of Singapore with a B.S. double major in Applied Mathematics and Computer Science. There I worked on multi-arm bandits, Bayesian optimization, high-dimensional statistics, and reinforcement learning problems.

Engineering is an integral part of my life. I built an event-driven signal generation system at J.P. Morgan Securities LLC for Agency RMBS trading using Python and C++. I also led the design, implementation, deployment, and monitoring of an ML-based price suggestion tool for eyos.one, an IT startup based in Singapore.