Summary
Jinrong Liang is a Simulation Development Engineer with 8 years of experience building simulation-driven development environments and high-fidelity SILS systems for AD/ADAS validation. With a master’s from Tokyo Tech and a research background in neural network quantization and computer vision, he bridges deep learning model acceleration with real-world vehicle data, synthetic environments, and CI/CD pipelines. He has applied this expertise across localization, lane detection, and sensor-fusion projects at companies including Woven by Toyota, Bosch Japan, and SenseTime, improving robustness in GNSS-degraded conditions and real-time embedded platforms. Comfortable across research and production, Jinrong’s work uniquely blends algorithm-level optimization (quantization, model deployment) with systems engineering for reproducible virtual testing. Based in Chiyoda, Japan, he brings both academic rigor and hands-on experience automating sim-to-real data collection and integrating HD maps for safer autonomous driving.
8 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, 3.53 / 4, Bachelor's degree, Computer Science, 3.53 / 4 at University of Macau
Master's degree, Artificial Intelligence, 4.3 / 4.5, Master's degree, Artificial Intelligence, 4.3 / 4.5 at Tokyo Institute of Technology
Bachelor's degree (Exchange Student), Computer Science, Bachelor's degree (Exchange Student), Computer Science at Syddansk Universitet - University of Southern Denmark
Chinese, English, Japanese