JinHau Mac

Project Background: developed a software based on label-me technology to recognise and label parts of the human body, including occluded parts.

Tech: C#, Python, Pytorch, Jenkins, Git

Main Responsibilities:

• Integrated OpenAI's CLIP model, YOLOv5, and Mask R-CNN for feature extraction, body part detection, and image segmentation using Python in an image-based machine learning system.
• Optimized system integration and performance in a .NET environment, leveraging asynchronous programming and multithreading.
• Automated data analysis processes with Python scripts to increase dataset accuracy and speed up the workflow.
• Developed CI/CD pipelines with Jenkins and Git for automated testing and deployment, enhancing code quality and reliability.

Background: Designed and implemented a stock management system.

Tech Stack: C#, .Net(MVC, WCF, Web API, Core), Entity, SQL Server, Azure Data Studio, Docker

Main Modules:

Enhanced system performance by optimizing SQL queries and implementing efficient data caching strategies. Key contributions include user and implementing stock modules, automating data processes, enhancing user authentication with Microsoft Identity, and integrating real-time stock data APIs. Improved system response times by 50% and increased data accuracy, significantly boosting user satisfaction.

Github Repo: https://github.com/jinhongm/Financial_Project

Project Overview: Created a versatile blog management platform for users to effortlessly compose, manage, and share blog content.

Tech Stack: Golang, Gin framework, GORM, JWT, WebSocket, Docker, MySQL, Redis and Elasticsearch

Main Modules:

Developed RESTful APIs with GORM for database operations and JWT for authentication, enhanced by Postman testing. Improved article search efficiency with Elasticsearch and deployed via Docker for scalability. Integrated WebSocket for real-time communication and used Redis to boost session management and user interaction efficiency in web applications.

Github Repo: https://github.com/jinhongm/golang-Gin-Project

Overview: Developed a full-stack fund management system with functionalities for tracking finances and managing user accounts.

Tech Stack: Vue3, Element-Plus, Node.js, Express, JavaScript and MongoDB

Main Modules:

Implemented user account features for secure registration and login, and designed responsive forms using Vue3 and Element-plus that support field validation and asynchronous operations for enhanced user experience and data accuracy.

Github Repo: https://github.com/jinhongm/FundManagementSystem