Summary
Zhao Lang is a Full Stack Engineer with 11 years of experience building cloud-native SaaS and applied data science solutions, currently driving platform and product work at SAS Institute from Las Vegas. He blends Kubernetes operators, high-throughput search, and WASM-powered front-ends with computer vision, reinforcement learning, and custom TensorFlow deployments to move models into production. Earlier roles in healthcare and consulting shaped his expertise in deep neural networks, streaming analytics, Bayesian risk modeling, and optimization algorithms for real-world decision systems. He pairs an actuarial foundation with nanodegrees in deep reinforcement learning and self-driving cars, enabling a rare mix of rigorous quantitative thinking and hands-on systems engineering. Notably, he implements compute-heavy ML workloads across both cloud infrastructure and browser-delivered WASM, demonstrating a focus on performance-sensitive, end-to-end intelligent systems.
11 years of coding experience
7 years of employment as a software developer
B.S., Actuarial Science, B.S., Actuarial Science at Penn State University
Deep Reinforcement Learning Nanodegree, Deep Reinforcement Learning Nanodegree at Udacity