Hi, I’m Pasquale De Rosa.

I hold a PhD in Computer Science from the University of Neuchâtel, Switzerland, where my research bridged the gap between advanced machine learning theory and real-world system engineering.

🛠️ What I Do

• Adversarial AI & Security: Building robust intrusion and malware detection systems. I developed PhishingHook, an AI framework utilizing multimodal deep learning to isolate behavioral anomalies and de-obfuscate malicious EVM bytecode.
• Quantitative Analytics: Modeling high-dimensional financial time-series to capture cross-asset causal relationships and predict trends in highly volatile, noisy data environments.
• Production MLOps: Testing the practical boundaries of AI systems. I explicitly benchmark the latency–cost trade-offs of modern serving frameworks (TorchServe, MLflow, BentoML) to engineer optimal cloud deployments.

🎸 Beyond the Code

When I’m not profiling pipelines or reading threat vectors, I’m usually deeply immersed in high-energy or highly technical hobbies. I am a passionate retro gamer, a comic book collector, a rock/metal enthusiast, and a beginner keyboardist. I am also an active advocate for open-source systems.

🔍 Explore My Work

This site serves as an interactive portfolio of my technical journey.

• [Interactive CV / Resume] — Explore my end-to-end engineering track record.
• [Selected Publications] — Read my peer-reviewed work across IEEE and ACM.
• [Technical Blog] — Where I break down complex security, MLOps, and causal inference concepts into clean, accessible architecture notes.