Summary
Yijun Huang is an algorithm expert with 12 years of experience building scalable optimization and ML solutions, currently advancing distributed optimization frameworks and numerical linear algebra tools at DAMO, Alibaba Group. He has a strong embedded-systems and computer-vision background from roles at Huawei Seattle Lab and China Aerospace, where he delivered real-time SLAM, video summarization, infrared target tracking, and FPGA/DSP solutions. Yijun combines deep research training (PhD-level work in computer engineering) with practical software engineering, having developed asynchronous parallel ML libraries and bespoke optimization toolchains for large-scale LP, MIP, and Bayesian optimization. Based in Madison, Wisconsin, he excels at turning theoretical algorithms into production-ready systems that run on modern distributed architectures. A less obvious strength is his cross-domain fluency—ranging from embedded avionics to big-data predictive modeling—which lets him bridge low-level performance engineering and high-level data science.
12 years of coding experience
12 years of employment as a software developer
Bachelor's degree, Mechatronics, Robotics, and Automation Engineering, Bachelor's degree, Mechatronics, Robotics, and Automation Engineering at Nankai University
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at Shenyang Inistitute of Automation, Chinese Academy of Sciences.
English, Chinese