Summary
Andre Chang is an AI engineer with 11 years of industry experience and over 9 years focused on deep learning, PyTorch, and C++. He has progressed from FPGA-based RNN research at Purdue to co-founding an ML compiler startup and leading ML infrastructure as VP before taking senior engineering roles at Micron and AIM. Andre blends research rigor (PhD in ECE with machine learning) with hands-on systems engineering—building compilers, custom hardware accelerators, firmware, and production AI infra. He specializes in optimizing AI applications and infrastructure for performance-constrained environments, a skill honed by embedded and accelerator projects. Based in Bellevue, WA, he is comfortable bridging low-level implementation details and high-level ML system design. Notably, his background includes both circuit/firmware design for IoT devices and scalable ML compiler work, giving him a rare cross-layer perspective.
11 years of coding experience