Zonghai Zeng

◼ Enhanced SR product backend performance by optimizing data serialization, achieving 30% memory and 20% CPU reduction, and improving API response time by 10 ms, contributing to a more efficient digital backbone. ◼ Spearheaded the critical resolution of complex memory leaks in production Android infotainment systems, ensuring system stability by utilizing advanced profiling tools to address deep-layer issues within UE4 and Android logic. ◼ Independently designed and deployed automated CI/CD pipeline (Jenkins), transforming product release process and achieving a 90% reduction in release cycle time, significantly improving release efficiency and version quality.

◼ Developed an AI-powered image enhancement model for two-photon microscopy, boosting imaging depth by 28% (700 µm to 900 µm) and significantly improving image quality for mouse brain tissue analysis. (Python, PyTorch) ◼ Developed a Qt-based plugin framework for multi-device synchronization, enhancing laboratory collaboration efficiency by 30%. ◼ Optimized optical imaging storage through custom storage and memory mapping implementation, achieving a 5x increase in system throughput.

◼ Designed and deployed a highly effective anti-cheat system, achieving a 90% reduction in cheating incidents. This significantly improved user experience and protected the platform's integrity, fostering a more trustworthy environment. (Python, PyTorch)