Daniel Huang

Software Engineer

Daniel Huang is a machine learning engineer at Snowflake, working on AI observability and large-scale LLM evaluation, with research interests in the intersection of AI safety and efficient deep learning. Previously, Daniel has worked on distributed systems and storage, machine learning model robustness and adversarial training in E2E speech recognition and 3D image classification DNN models during his time at Amazon and Carnegie Mellon University. He holds a Master's in deep learning and natural language processing from Carnegie Mellon University.