Summary
Boxiang Wang is a deep learning algorithm engineer who turns cutting-edge research into scalable AI systems. He is currently at NVIDIA, where he designs and optimizes production-ready deep learning models for large-scale applications. His diverse background spans roles at Alibaba, HPC-AI Tech, and research/teaching positions at Harvard and the National University of Singapore, illustrating a strong balance of industry pragmatism and academic rigor. He holds an MS in Computer Science from MIT and an SM in Computational Science and Engineering from Harvard, in addition to a BE in Electrical and Electronics Engineering with Honors from Nanyang Technological University. Based in California, Boxiang combines a decade of experience with a mission to develop technologies that better the world, thriving at the intersection of theory and deployment.
10 years of coding experience