CV
Education
- B.E. in Software Engineering, Xiamen University, China, 2019-2023
- GPA: 86/100, Student of a selective class for excellent academic performers
Work experience
- Summer 2022: Software Engineer Intern
- Huawei Technologies Co., Ltd
- Managed data integration and contributed to the design of specialized classes, such as EndPoint, for data transmission. Implemented encryption methods including UUID and MD5 to secure sensitive data.
- Utilized Apache Camel for data transmission and contributed to the development of cloud storage file operations, including uploading, downloading, and structured data transmission.
- Implemented logical multi-tenancy through the use of data structures like ThreadLocal, combined with database sharding techniques. This approach ensured efficient data separation for multiple tenants within the system.
- Fall 2023 - Fall 2024: Backend Software Engineer - Java
- Huawei Technologies Co., Ltd
- Responsible for backend development for the Enterprise Data Space product, primarily utilizing Java as the core technology stack. This product serves as a dependable platform for secure exchange of sensitive and confidential information, capable of handling high concurrency. It employs a combination of MySQL and MongoDB to ensure data security.
- Developing backend services for the enterprise data space in Java as part of the clearinghouse module
- Involved in scoping requirements and process design, building technical architectures, and writing core functionalities such as log query and the creation of data visualization dashboards
- Utilizing blockchain technology for data storage within the system to enhance its security, alongside the implementation of periodic audits on the blockchain data and tamper-resistant processing.
- Fall 2024 - Summer 2025: Backend Software Engineer - Python
- Huawei Technologies Co., Ltd
- Supported the backend core function development of an intelligent conversational robot tailored to supply chain and data lake niche scenarios, assisting with multi-turn dialogue management and business scenario adaptation
- Participated in implementing the core Agent module based on business requirements, including multi-dimensional historical conversation query (via Elasticsearch), rule-based slot filling engine, multi-intent recognition model integration, Elasticsearch data retrieval service, and multi-source result fusion logic, supporting basic response capabilities for complex business queries.
- Assisted in code architecture refactoring, adopting the Factory Pattern to optimize the data query pipeline and reducing average query time from 8s to within 3s. Collaborated on restructuring Python-Java cross-language invocation interfaces, decreasing interface response latency by 20% and lower error rates by 15%.
- To improve real-time interaction, completed the development of a Server-Sent Events (SSE)-based streaming response interface, supporting dynamic push of intermediate results during conversations. This reduced user perceived waiting time by 40% and significantly enhanced interaction smoothness.
Research experience
- Design and Implementation of a Deep Learning-based Relation Extraction System - Front-end Programmer
- Employed the Vue framework for frontend and FastAPI architecture on the backend, implemented by Neo4j database technologies to perform efficient data storage of over 10000 data points
- Deliberately chose this design to ensure highly efficient and robust identification operations, resistance to cyber attacks, partition tolerance and speedy data recovery amongst numerous benefits
- Utilized the CNN and RNN model to accurately extract and identify the relationship of input text entities
- Visualized the relation extraction using rich Javascript components that displayed interactive data views
- MCM Thesis: Trading Strategy in Complex Situations - Invest in a mixed market of gold and bitcoin using turtle trading rules - Software Engineer
- Engineered a combination of time series regression models to extrapolate historical data and boosted decision trees to predict the trend in prices
- Worked with the ARIMA model for time series, and capitalized on MACD indexes as the training data for the decision tree
- Augmented ARIMA’s poor performance in long-term forecasting with the MACD-based decision tree to compensate for its weakness by predicting medium to long-term prices
- Implemented turtle trading to develop rule-based trading heuristics in order to nudge investors into making the best trading or holding decisions for financial assets
Skills
- Programming skills
- C# (Unity Progamming)
- C++ (Unreal Programming)
- Java
- Python
- Design skills
- Language
- English (IELTS: 7 - W: 6, R:7.5, L:7.5, S: 6)
- Mandarin (Native)
Service and leadership
- Football Team of the School of Information, Xiamen University - Manager
- In charge of managing the finances, scheduling sessions for the members, and coordinating operations and programs for the team
- Assumed the responsibilities of team doctor to address any injuries of the members
Hobbies
- Football • Indie Game Programming
