💻 Software Engineer at Adyen
📍 Amsterdam
🔗 LinkedIn | StackOverflow | GoogleScholar | Resume
I'm a passionate Software Engineer and AI enthusiast with a PhD in Software and Data Engineering from Tilburg University. My work revolves around leveraging AI and Machine Learning to improve software quality, focusing on areas like software defect prediction and code smell detection. I thrive in challenging environments and am driven by a can-do attitude, constantly seeking opportunities to innovate and collaborate on cutting-edge projects.
- Artificial Intelligence & Machine Learning: Specialized in defect prediction, novelty detection, and infrastructure-as-code (IaC).
- Software Quality Assurance: Deep experience in developing tools and frameworks for enhancing code quality.
- Project Management: Certified in Google Project Management, adept in both Agile and traditional methodologies.
🔍 Mining Software Repositories & Defect Prediction
- RADON Repositories Collector: Python library for collecting and filtering GitHub repositories based on custom criteria.
- RADON Repository Scorer: Tool for evaluating best engineering practices in software repositories through key metrics.
- RADON Repository Miner: A Python library for mining IaC repositories, with extensions to other languages.
- RADON Defuse: Framework for training machine learning models to predict defects in IaC, adaptable to various programming languages.
🫘 SpringBoot
- auth-spring-boot: Spring Boot starter for authentication with JSON Web Tokens and Refresh Tokens.
- Published several papers in top-tier journals and conferences, including IEEE Transactions on Software Engineering and Empirical Software Engineering Journal.
- Authored "Artificial Intelligence: Journey through the thinking machines that will change our future," a book exploring the impact of AI on society (Italian only).
- Completed several specializations on Software Engineering and AI on Coursera.
