Summary
Allen Mao is a Senior AI Engineer with 11 years of experience building cloud-native data pipelines and production ML tooling for physics-based simulation, currently leading core data processing for Ansys SimAI. He combines research experience from Berkeley, ICSI, and USC/ISi with hands-on systems work at NASA and Amazon to normalize and scale simulation datasets for training and inference on Kubernetes/EKS. Notable strengths include deep familiarity with VTK and open-source contributions that fixed bugs in visualization and LSDYNA reader tooling, demonstrating attention to scientific software correctness. Comfortable across full stack, data engineering, and R&D roles, he also brings interdisciplinary curiosity—ranging from conservation work at Yellowstone to classical piano—that informs pragmatic problem solving and user-focused tooling.
11 years of coding experience