Driven by a results-focused approach, I leveraged my expertise in Python and collaborative skills at Nanjing Jianruijie Software Development Co., Ltd to enhance project outcomes. My work in scientific research publication showcases my ability to apply complex concepts, such as improved ResNet for COVID-19 diagnosis, demonstrating both technical proficiency and innovative problem-solving. Knowledgeable about research areas and study procedures. Enthusiastic about setting up and carrying out wide array of studies. Diligent, industrious and efficient in handling minute details with methodical approaches to gain insights into field.
JIANGZIHAN SUN. Research on chest x-ray image diagnosis of COVID-19 based on improved ResNet[C]. //Third International Seminar on Artificial Intelligence, Networking, and Information Technology (AINIT 2022): 23-25 September 2022.Shanghai, China.:Society of Photo-Optical Instrumentation Engineers, 2023:125870Z-1-125870Z-8.