I'm an ambitious Software Engineer 🖥️ with a passion for Linux 🐧 , Cybersecurity 🔒 , AI 🤖, and DevOps ⚙️. With experience in both research and practical application development, I'm always eager to tackle new challenges and collaborate on innovative projects.

• 🌍 I'm based in Thailand 🇹🇭
• 🖥️ See my portfolio at My Personal Website
• ✉️ You can contact me at [email protected]
• 🤝 I'm open to collaborating on Academic Research

• Degree: Bachelor of Science in Information and Communication Technology
• Period: 2020 - 2024
• Location: Mahidol University, Thailand 🇹🇭
• Details: Specializing in Software Engineering, Cybersecurity, and AI. Engaged in various projects and research activities.

• AWS Academy Graduate - AWS Academy Cloud Foundations - Amazon Web Services Training and Certification
• Junior Cybersecurity Analyst Career Path - Cisco
• Google Cybersecurity Certificate - Coursera
• Open Source Software Development, Linux and Git Specialization - Coursera
• Meta Back-End Developer Certificate - Coursera
• Meta Front-End Developer Certificate - Coursera
• Meta Full-Stack Engineer Certificate - Coursera
• Google IT Support Certificate - Coursera

• Institution: Ritsumeikan University · Internship
• Duration: May 2023 - July 2023 · Shiga, Japan · On-site
• Description: Conducted research on security vulnerabilities in Android apps using OAuth 2.0 with Google accounts, focusing on CSRF risks. Presented findings at the Workshop on Cyber Forensics, Security, and E-discovery during the 23rd IEEE International Conference on Software Quality, Reliability, and Security in 2023. Developed an app and analyzed others to evaluate components crucial for CSRF prevention, like the state parameter and authorization code. Aimed to enhance user safety by identifying vulnerable apps and promoting robust security measures.

• Institution: National Central University · Internship
• Duration: Jun 2022 - Jul 2022 · Taoyuan City, Taiwan · Remote
• Description: Contributed to an automated COVID-19 diagnosis project using chest X-rays, presented at the 2022 6th International Conference on Information Technology (InCIT). Developed an AI-based screening method using transfer learning and deep neural networks. Employed Grad-CAM visualization, achieving high accuracy, precision, recall, and F-measure on public datasets. Showcased skills in AI, deep learning, and medical imaging.

• Publication: IEEE
• Date: November 2022
• Summary: Proposed an automated COVID-19 screening framework using AI and transfer learning with chest X-ray images. Utilized modified deep neural networks and Grad-CAM visualization for diagnosis prediction. Demonstrated superior performance compared to other deep learning techniques, aiding early COVID-19 detection.

• Publication: IEEE
• Date: October 2023
• Summary: Researched the vulnerabilities of OAuth 2.0 in Android apps regarding CSRF attacks. Developed an Android app to analyze the use of state parameters in other apps, focusing on CSRF attack prevention. Evaluated basic CSRF protections in applications using OAuth 2.0, aiming to protect users from vulnerable apps.

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