Xiangqian Hu

Dr. Xiangqian Hu is an Engineering Manager at Google, where he leads teams focused on developing advanced AI and machine learning systems. With his strong technical background and management expertise, Dr. Hu plays a crucial role in bringing cutting-edge AI research to production-scale applications that serve millions of users worldwide.

At Google, Dr. Hu’s work spans various aspects of AI system development, from algorithm design and optimization to large-scale implementation and deployment. His experience in managing engineering teams working on AI projects provides him with unique insights into the challenges and best practices of building AI systems at scale.

Dr. Hu’s background combines deep technical expertise in artificial intelligence with practical experience in engineering management, making him well-positioned to discuss both the technical and organizational aspects of AI development. His work at Google involves navigating the complexities of turning AI research into reliable, scalable products that meet the demands of real-world applications.

At the Carolina AI Conference, Dr. Hu will present how Apache Beam and Google Cloud Dataflow enable scalable, real-time machine learning and data processing. The talk will cover Beam’s unified model for batch and streaming pipelines, key features like RunInference and MLTransform for efficient ML workflows, and real-world use cases of large-scale data processing. He’ll also spotlight the Apache Beam open-source community and share how developers can contribute and harness its power to build innovative, scalable AI solutions.