Jiazhen Xi is an AI Engineer with 7 years of experience specializing in Python, machine learning, and data mining, currently building LLM-powered product features in Fukuoka. His background spans industrial sensor data analysis and production scheduling systems, where he turned noisy audio, vibration and sensor streams into actionable models and visualizations. He holds a PhD focused on low-precision learning and inference, bringing deep research insight to practical ML deployment and efficiency. Past internships include image OCR and web-demo work that optimized tag recognition accuracy from around 50–80% up to 90% through careful preprocessing and pipeline design. Comfortable at the intersection of research and production, he excels at squeezing performance out of constrained models for real-world industrial use cases.
8 years of coding experience
4 years of employment as a software developer
Master's degree, 电磁场与微波技术, Master's degree, 电磁场与微波技术 at Nanjing University of Science and Technology
Doctor of Philosophy - PhD, Low precision learning and inference/ML/DL, Doctor of Philosophy - PhD, Low precision learning and inference/ML/DL at Fukuoka Institute of Technology
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