What's My Path Going on

GameDemo-Link

• Developed the “SkyRunner” game in Unity3D+C#+webGL to support the organization’s promotional efforts.

• Taught robotics and basic programming to teenage students.

Demo intro video

• use Angular and NgRx to build the frontend
• use Express for backend
• use PostgreSQL for DB
• use AWS SDK and AWS S3 to store the video filters
• use ffmpeg to trans the video file formats

• Used Nest.js and GraphQL to create and control API.

• Used OpenAI API and PineCone (vector DB) to create a local DB natural language search function.

• Used PostgreSQL as the current main DB.

• Used Redis for caching the API return results.

• Addressed the initial loading performance challenges of traditional Single Page Applications by implementing Next.js and TypeScript as a server-side rendering (SSR) solution.

• Reduced CSS style redundancy and improved project maintainability and Responsive Design by employing Tailwind.

• Simplified the deployment process and facilitated real-time collaboration among teammates by utilizing Vercel.

• Solved the problem of external clicks on complex components and reduced code maintenance costs by customizing the useOutsideClick hook. This contributed to fostering overall team progress.

Online Demo

• Used React JS and Tailwind for front-end development.

• Used Three.JS and Google Maps 3D View to import the 3D model in Google Map.

• Used AWS Lambda, AWS DynamoDB, and AWS S3 to finish APP deployment.

• Collaborate with the Brisbane Government.

• Improved front-end development efficiency and enhanced code maintainability by utilizing React.js and Tailwind CSS.

• Created and deployed stacks for AWS services to manage resources by utilizing AWS CDK and participating in the construction of a fully serverless project.

• Developed TypeScript, C# and AWS Lambda function to encapsulate an API in accordance with the REST style for file (pictures) manipulation in the S3 Bucket and database operations in DynamoDB.

• Developed the CI/CD pipeline using GitHub Actions, utilizing a YAML file to enhance the readability of the CI/CD process. The use of parallel tasks in GitHub Actions further improved the overall performance of the CI/CD workflow.

Road detection demo

• Implemented the researchers' models by utilizing Python and OpenCV2.

• Implemented CV detection (road, face, gait, size ...) functions by utilizing Convolutional Neural Network (CNN).

• Customized operators on filters in solving the noise of the images with a good effect in tasks of detecting sizes of components (screw, nut, pills, ...).

• Worked with the researchers of Global Top 1 Research Institution.

Pursuing a Master's degree in Information Technology, focusing on developing a strong foundation in computer science and software engineering principles. Courses include advanced algorithms, data structures, machine learning, and software architecture.