Portfolio of Syafiq Hadzir
About Me
Research Interest
My research focuses on the intersection of artificial intelligence and software quality assurance. I explore how machine learning models can enhance test automation, improve defect prediction, and optimize the overall testing process. Current areas of investigation include:
- AI-driven test case generation and optimization
- Machine learning for defect prediction and classification
- Intelligent test prioritization algorithms
- Natural language processing for requirements analysis
Publications
- S. Hadzir: Exploring AI-Assisted Test Automation Frameworks - A comprehensive study on integrating AI tools into existing test automation pipelines.
- S. Hadzir: Network Security Testing Methodologies - Research on automated security testing approaches for web applications.
Proficiencies
As an experienced software QA engineer with 5+ years of experience in software development and 3+ years in network security research, I have a keen eye for detail and an aptitude for quickly understanding complex software systems. My expertise lies in:
- Designing and executing comprehensive test plans
- Identifying critical defects
- Ensuring the delivery of high-quality software products
Note: kindly visit my GitHub profile for more information.
Interests
At the forefront of evolving technology, I constantly learn and adapt to the dynamic interplay between AI and software testing, focusing specifically on these areas:
- AI Exploration
- CI/CD Integration
- Code Assessment
- Test Automation
- Web Application
References
- Blog: My blog where I share my thoughts and experiences
- Research: My research projects and publications
- GitHub: View my open source contributions and projects
- GitLab: Additional repositories and work