Wong Chi Hao

-Utilized expertise in backend development to revamp and refactor legacy backend systems for storage, reducing downtime and enhancing system reliability and performance. - Employed backend development skills to construct a robust backend for a food status tracking system, improving data management and user experience for stakeholders. - Leveraged knowledge of integration techniques and communication protocols such as RabbitMQ, Websocket, and TCP/IP to seamlessly integrate hardware and software components, fostering enhanced system interoperability and communication. - Implemented Hangfire scheduler workers for efficient data integration and data retention policies, optimizing data processing and ensuring data integrity. - Engaged in team project management using Jira, facilitating efficient task allocation, progress tracking, and project coordination, thus enhancing overall project efficiency and success. - Crafted comprehensive documentation delineating software requirements and meticulously planned the implementation of software development, ensuring precise alignment with project requirements. - Provided mentorship and guidance to interns, facilitating seamless integration into the team and enabling them to make valuable contribution.

- Developed a comprehensive warehouse management and inventory tracking system, utilizing .NET backend and Angular frontend technologies for enhanced operational efficiency. - Engineered microservices to ensure seamless data integration across diverse databases, guaranteeing data consistency and accuracy, while optimizing overall database performance. - Designed and implemented Python-based mini-programs to automate routine tasks, resulting in significant time savings, reduced manual effort, and increased daily operational efficiency. - Contributed to the maintenance of a Python microservices architecture employing event-driven paradigms, orchestrating seamless interactions between software and hardware machines for enhanced system performance.

- Assist in developing and implementing computer vision applications. - Tailor and fine-tune machine learning solutions to address business problems. - Design, build, evaluate and deploy application of machine learning models. - Apply various data science technologies (statistical analysis, pattern recognition and data visualization) along with domain knowledge and subject-specific models to solve engineering and commercial problems.