Experience

Joined in Intel’s open source technology community department, and took part in the project HAXM which was synthesised with Android Studio and Qemu, relating to Linux kernel and virtualization technology
Developed an installation tool for HAXM including environment check and installation package generating based on Intel x86 architecture and supporting both Windows and macOS platform
Used C++ and CMake to achieve cross platform for environment check and implemented both hardware and software standard detection by CPUID instructions and OS API. Applied open source tool NSIS (for Windows) and Packages (for macOS) to achieve installation package generating
Advanced user experience and support more detection of environment

Proactively engaged in the primary project at the elite Baidu Brain team(ai.baidu.com), assisted in the creation of simulated human brain based on computational technology
Involved in the following project: AI small program (backend API testing and frontend function testing), UNIT intelligent dialogue (NLP, Data analysis), easyDL (H5 functional page testing), image identification (interface testing and performance evaluation), AI Privatization (backend connection, usability, compatibility, performance testing)
Mastered basic technology of testing including: design testing scheme, design testing cases, writing testing script, running tests and testing analysis
Demonstrated academic and engineering capacities as much as problem-solving and teamwork skills in a highly competitive work environment, gaining trust and credit from colleagues and supervisor

Participated in the project image recognition of bridge cracks, used Java, GUI Interface design and OpenCV for image processing
Directly involved in the 3 stages of image detection, respectively, bridge crack image collection, crack image preprocessing, crack image analysis and identification
Preprocessed the image by image grayscale, histogram equalization, median filter denoising, Canny edge detection, morphological processing, and gray threshold segmentation to extract the characteristics of the image. Calculated the corresponding features of the image to judge the health of the bridge