A Computer Engineering graduate from Mae Fah Luang University, deeply motivated to turn knowledge into meaningful work. Passionate about continuous learning, teamwork, and solving real world problems through technology. Currently seeking an opportunity to grow within a supportive environment where skills can be developed further, contributions can make an impact, and learning never stops. Willing to be part of an organization that values growth and collaboration, while making a genuine impact and contributing real value to the team.
Python, Java, C++, C#
Jira, Postman, SonarQube, Docker, Power BI, Microsoft Office Suite (Word, Excel, Power Point), Canva, Figma
HTML, CSS, JavaScript, Node.js
Zoom, Google Meet, Microsoft Teams, etc.
Performed static code analysis using SonarQube and SonarScanner to detect bugs, vulnerabilities, code smells, duplications, and security issues. Fixed code issues and trained junior students in using SonarQube.
Taught basic computer skills to children, including Microsoft Office, internet use, and digital literacy. Created child-friendly lesson plans and guided hands-on activities, troubleshooting, and practical exercises.
• Created slide-based teaching materials to guide junior students about SonarQube, static code analysis, and security hotspots.
• Explained how to set up SonarQube using Docker and connect with GitHub for code scanning.
• Provided hands-on examples and real-world code review practices to enhance learning.
Created comprehensive test documentation in Excel, including test scenarios, test cases, and bug reports for saucedemo.com. Covered login, inventory, cart, and logout flows for 6 user types. Identified functional and UI issues, assigned severity, and simulated manual QA process from start to finish.
Brain tumors were segmented and classified into four groups using a deep-learning algorithm. Collaborated with a five-person team to finish the segmentation process, with the classification process underway. The study used advanced image processing techniques to improve tumor diagnostic accuracy and efficiency.
Developed a MATLAB toolbox for image preprocessing and text extraction
Developed a mobile application using Flutter and Dart to manage asset borrowing and returns. The app features a user-friendly interface for tracking borrowed items and returning dates.
Built a room reservation system with real-time availability updates and a user-friendly scheduling interface.