SHIYANG QIAN

As an enthusiastic full-stack developer and quantitative analyst, I am dedicated to leveraging innovative technologies to solve complex problems. I have a solid theoretical foundation and practical experience in software engineering, particularly excelling in designing and implementing high-performance financial trading systems using various programming languages and frameworks. My educational background and work experience have equipped me with proficiency in data structures and algorithms, effectively integrating front-end and back-end technologies to optimize system performance. Additionally, I am an active advocate for teamwork, skilled in cross-cultural communication 1.Excellent English, passed the CET-4 and CET-6, can be used as working language. 2.Familiar with data structures and algorithms, familiar with object-oriented programming, understand design patterns. 3.Back-end development: Master C++, Python, Bash and other languages, understand new features of C++17/20. Able to design and develop high-performance, scalable back-end services, familiar with RESTful API design and development. 4.Familiar with Linux development environment, Linux kernel tuning, familiar with operating system, computer composition principle, computer network 5.Familiar with multithreading, caching, message queue, microservice, distributed system, low latency network and other technologies. 6.Database management: Have experience in database design and management, proficient in MySQL, Redis, MongoDB and other databases, able to optimize SQL queries. 7.Experience in exchange API development and transaction connection development. 8.Familiar with Docker and Kubernetes, know how to use them to create, deploy, and manage containerized applications. 9.Proficient in software engineering development practices, such as agile software development, test-driven development, unit testing, code review, design documentation. 10.Financial knowledge: Understand basic financial knowledge, have industry experience in the field of financial investment, and other related financial theories, understand the operation of the trading market. 11.Data processing and analysis: Proficient in using Numpy, Pandas, Matplotlib, Scipy and other tools, able to obtain data from a variety of sources, and clean, extract and analyze data. 12.Familiar with machine learning and deep learning models, experience in machine learning project development. 13.High performance computing: unlocked data structures, memory pool optimization, SIMD instruction set, DPDK/SPDK, CUDA basics.