Machine Learning Engineer | Counter-Terrorism Researcher | Data Integration Specialist
I am a Machine Learning Engineer with a strong focus on counter-terrorism, cybersecurity, and behavioral analysis. My work involves the application of advanced ML techniques to solve complex problems in high-stakes domains like security and defense. Over the years, I’ve led research teams to develop innovative ML models aimed at enhancing counter-terrorism strategies, improving data integration, and optimizing inconsistent databases.
I am particularly passionate about developing solutions to real-world problems, where practical relevance drives my work. After completing my Master’s degree, I contributed to multiple projects and internships that required me to build both desktop and web applications—skills that have allowed me to approach problems from both engineering and research perspectives.
As the coordinator of several small- to medium-sized research groups, I have honed my leadership skills in dynamic, interdisciplinary environments. I have managed cross-functional teams working on AI-driven solutions, encouraging collaboration among individuals with diverse backgrounds and skill sets. My experience with Coremuniti, a startup I co-founded, gave me hands-on experience in creating management software for small to medium-sized businesses in Southern Italy, further enriching my technical and entrepreneurial abilities.
I thrive in fast-paced, high-pressure environments, always maintaining a positive attitude and motivating my team to achieve innovative and impactful solutions, whether in academia or industry.
Key Areas of Expertise
- Machine Learning & Deep Learning: Proficient in developing and deploying ML models for predictive analysis, behavioral modeling, and anomaly detection. Experienced with PyTorch, Scikit-learn, and TensorFlow for building robust, scalable solutions.
- Counter-Terrorism & Cybersecurity: Led AI-driven research and systems for counter-terrorism operations and cybersecurity defense. Developed models for adversarial deception detection, threat assessment, and deepfake detection.
- Data Integration & Inconsistent Databases: Expert in integrating heterogeneous datasets, developing techniques to handle inconsistent databases, and generating actionable insights from diverse data sources.
- Social Network Analysis & Behavioral Modeling: Applied social network analysis (SNA) techniques to understand complex social dynamics and behavioral patterns, particularly in security and intelligence contexts.
- Explainable AI (XAI): Designed explainable AI frameworks to generate transparent, natural-language justifications for model predictions, enhancing trust and interpretability for decision-makers.
- MLOps & Cloud-Native Technologies: Experienced in building scalable ML infrastructure and pipelines using Docker. Proficient in model deployment and continuous integration/delivery (CI/CD) workflows.
- Leadership & Collaboration: Extensive experience coordinating and mentoring cross-disciplinary research teams. Skilled at fostering a collaborative environment and maintaining productivity under pressure in both academic and industrial settings.
Contact Me
Feel free to reach out if you’d like to discuss my research or potential collaborations. You can contact me directly or connect with me on LinkedIn for further discussions.