Jianzhong Xu is a seasoned software applications engineer with over 20 years of experience turning mathematical algorithms into production-grade embedded and edge AI systems. At Texas Instruments he led the effort to make AM57x a TVM deep learning backend and has built HPC libraries, DSP algorithms, and real-time firmware used in commercial products from IP phones to Sitara MPU-based IoT devices. His expertise spans machine learning, high-performance computing, acoustic signal processing, and low-level driver/framework development, with hands-on proficiency in C/C++, Python, MATLAB, TVM, TensorFlow and TI toolchains. Jianzhong’s career began implementing V.90 modem impairment learning on TI C5x DSPs—a formative project that shaped his lasting focus on translating math into practical software. He combines creative problem solving with rigorous engineering discipline, mentoring teams and driving projects from algorithm design through system integration. Based in Prosper, Texas, he balances deep embedded systems knowledge with modern ML deployment experience for edge acceleration.
10 years of coding experience
23 years of employment as a software developer
The University of Maryland, College Park
B.S. in Electrical Engineering, B.S. in Electrical Engineering at Zhejiang University
Repository to host GStreamer plugins for TI's EdgeAI class of devices
Contributions:1 push, 2 branches in 9 months
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