Utilize techniques in materials engineering, such as semiconductor and sensor technologies in the hardware domain, along with the atomic level computation and simulation, gradient descent method in the software domain to design, develop and troubleshoot systems for data center sensor enforcement and software/hardware compatibility for Cisco next-generation data center awareness technology.
Develop software and tools to support embedded hardware network sensor/switch flows and analytical data center clusters. Build application programming interfaces in support of the analysis and forensics of data center pipelines and the orchestration across cloud platforms.
Programmatically build paralleled end-to-end tests within the computation limits(CPU limits) of the virtual machine clusters.
Cisco System - Software Engineer Intern02/2017 to 06/2017
Develop software and tools in support of the datacenter sensors and switches, enforcement infrastructure and technology platforms; Determine hardware compatibility and influences on hardware and software design.
System and component design in the networking systems with backend routers/sensors and analytics software.
Computational Engineering: Designed and Optimized the manufacturing and other engineering processes of powder injection molding based on Integrated Computational Materials Engineering.
Crash system reporter: Implemented the crash reporter library containing a fault handler that can be linked into a program and will intercede on a crash and walk up the stack to give a symbolic backtrace of where the crash occurred.
Heap Allocator: Designed and implemented an allocator that responds to malloc, realloc, and free. The implementation is based on segregated lists, which has 82% overall utilization. Each list contains free blocks in a certain size range and each block is identified by a header and a footer. Free blocks are connected through the doubly linked list.
Data Prediction: Developed a machine learning model using linear regression, logistic regression and cross validation to predict students information such as age and weekly exercise hours.
Zhiwen Zhang, Yufei Peng, Yupeng Xing. et al “Design and Optimization of Powder Injection Molding Products Based on Integrated Computational Materials Engineering”, Refractories, CN41-1136/TF, ISSN1001-1935, 2014