Key Responsibilities:

• Performed penetration testing across Web, Mobile, API, and Network environments for over 80 projects annually, covering KBTG and its subsidiaries.
• Acted as project owner for 4 major security assessment projects in 2025, leading end-to-end execution and reporting.
• Served as a core member in Red Team operations (Red Team Campaign), leading and executing advanced threat simulation and detection exercises.
• Created comprehensive summary reports of security findings in both Thai and English, ensuring clear communication with stakeholders
• Led the development of an automated reporting system and collaborated with the team to design reporting formats and styles.
• Significantly reduced response time for critical vulnerability alerts by building automation solutions using Power Apps, Power Automate, and Python.
• Conducted AI security research focused on both Offensive (Red Team) and Defensive (Blue Team).
• Collaborated closely with the Threat Intelligence team to support real-time alerting.
• Presented findings and shared AI threat insights during TBCert sessions and internal security briefings.
• Delivered knowledge-sharing sessions on AI security to regional KBTG teams.

Skills: Penetration test · Kali linux · Burp Suite · AI Security · Reporting · Power Automate · Power Apps

Key Responsibilities:

• Conducted in-depth penetration testing of IT infrastructure, identifying vulnerabilities in operating systems, applications, configurations, and user behavior.
• Specialized in web, mobile, and software vulnerability assessments following OWASP Top 10 and industry best practices.
• Delivered detailed security reports with actionable remediation steps to strengthen clients’ overall security posture.
• Worked cross-functionally with development and infrastructure teams to ensure timely remediation of security risks.
• Successfully completed 16 security assessment projects during the engagement.

Skills: Penetration test · Kali linux · Burp Suite · OWSAP · Vulnerability Assessment

Key Responsibilities:

• Assisted in conducting penetration tests on software, mobile, and web applications using tools such as Kali Linux and Burp Suite.
• Followed OWASP best practices to identify and document security vulnerabilities and simulate real-world cyberattacks.
• Performed vulnerability assessments on KPMG’s internal network using Nessus and other scanning tools.
• Contributed to the development of a secure internal website, incorporating security-by-design principles.
• Completed 2 penetration testing projects and 1 vulnerability assessment project, improving communication of complex findings to stakeholders.
• Gained practical expertise in offensive security while actively pursuing continuous learning in a dynamic threat landscape.

Skills: Penetration test · Kali linux · Burp Suite · OWSAP · Cybersecurity · Vulnerability Assessment

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Key Responsibilities:

• Conducted research on OAuth 2.0 implementations in Android applications and browser extensions, focusing on vulnerabilities related to Cross-Site Request Forgery (CSRF).
• Evaluated critical security parameters such as the state value and authorization code to determine resilience against CSRF attacks.
• Developed a custom Android application and analyzed real-world apps and extensions to assess OAuth integration practices.
• Identified insecure implementations that exposed users to potential token hijacking and session fixation risks
• Contributed to the development of a benchmark for future security audits of Android apps and browser extensions using OAuth 2.0, promoting safer authentication design.
• Presented research findings at the Workshop on Cyber Forensics, Security, and E-discovery, part of the 23rd IEEE International Conference on Software Quality, Reliability, and Security (QRS 2023).

Skills: Android Development · OAuth2.0 · Application Security · Security · Cybersecurity · Java

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Key Responsibilities:

• Contributed to a research project focused on automated COVID-19 diagnosis using deep learning and chest X-ray images.
• Developed and evaluated a convolutional neural network (CNN) model enhanced by transfer learning for accurate COVID-19 screening.
• Utilized Grad-CAM visualizations to interpret model predictions and enhance explainability for medical practitioners.
• Conducted experiments on publicly available datasets to assess model performance in terms of accuracy, precision, recall, and F-measure.
• Demonstrated expertise in artificial intelligence, deep learning, and medical image analysis applied to real-world health challenges.
• Published research findings at the 2022 6th International Conference on Information Technology (InCIT).

Skills: Public Speaking · Jupyter · Convolutional Neural Networks (CNN) · Deep Learning · Artificial Intelligence (AI) · Communication · Python

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