Wang Qin Email & Phone Number

Singapore, Singapore

• Overhauled logistic software by transitioning from a traditional distributed architecture to a microservices architecture, improving flexibility, scalability, and fault isolation, resulting in cost savings and increased efficiency for long-term operations• Led the design and development of a dedicated microservice tailored to manage payment functionalities, incorporating secure payment processing algorithms and interfacing with well-known payment gateways like WeChat Pay and Alipay• Developed sophisticated QR code payment feature and optimised transaction processing logic to effectively eliminate duplicate transaction orders, improving customer satisfaction and minimising the risk of errors• Collaborated in creating a MongoDB logistics database to handle extensive logistics data, addressing frequent pre-delivery queries and occasional post-delivery questions, boosting operational efficiency by assuring rapid data access and retrieval• Deployed a two-level cache mechanism integrating JVM cache and Redis cache to address the issue of high concurrency in logistics information queries, resulting in a 17% enhancement in database IO performance

Singapore

• Cooperated with eight other engineers to develop a deep-learning-based multi-camera video surveillance system, utilising neural networks to detect object trajectories and identify relationships between objects• Created a yolov8s-based detection model for an edge device to efficiently analyse a high volume of video feeds, making it ideal for deployment in diverse contexts, ranging from small enterprises to large-scale facilities• Developed a testing framework and tested several neural network models as backbones to ensure the reliability, efficiency, and efficacy of the deep learning system, resulting in improved performance and outcomes across different edge devices, including Nvidia Jetson Nano and Nvidia Jetson Xavier• Demonstrated commitment to project goals and timelines by consistently attending and actively engaging in weekly meetings with supervisors during the Lockdown period, contributing to a collaborative work environment• Determined the best model selection and parameter configuration by analysing the data, resulting in a 24% increase in model accuracy and a 9% increase in efficiency

China

• Collaborated with five other developers on designing and developing stock analysis software aimed at providing customised stock data analysis and presentation services for individual users and institutions• Established a user login system using Redis cache instead of the traditional cookie-session mechanism, adequately tackling the Cross-Origin Resource Sharing (CORS) issue.• Created RESTful APIs for different stock display functionalities, such as comparing stock volumes, showing individual stock gains/losses, and displaying daily K-Line charts, to offer users detailed stock transaction data visualisation• Managed clear and detailed online API documentation with Swagger, effectively reducing team communication costs and facilitating integration into continuous integration and continuous deployment (CI/CD) processes• Demonstrated strong teamwork and communication skills throughout the development process, fostering a collaborative environment and facilitating the successful completion of the project

Singapore

• Enhanced convolution computation in the convolution layer using specially designed full adders on the FPGA successfully improved the efficiency of a 5-layer CNN model by 11%• Presented gathered analytical findings to the supervisor and other researchers during brainstorming meetings and indicated areas for improvement• Facilitated the handover of the project during the expansion of the team and ensured documentation was in place• Demonstrated good collaboration with team members by using strong communication and interpersonal skills to coordinate efforts and accomplish project objectives• Exhibited a passion for technology and a drive for continuous learning, staying updated on the latest advancements in hardware programming and convolutional neural network research