Open to opportunities

Raphael Monteiro

@raphaelmonteiro

Cybersecurity-focused AI researcher and developer specializing in multilingual LLM adversarial robustness and secure ML pipelines.

Switzerland

Message

What I'm looking for

I’m looking for a role at the intersection of AI security and applied ML engineering—running adversarial evaluations, building LLM defenses, and shipping robust MLOps systems in a security-first, research-driven environment.

I’m a cybersecurity-focused AI researcher and developer, driven by probing and strengthening real-world LLM safety. In my Bachelor’s thesis, I designed and executed adversarial attack campaigns against large language models across five languages (English, German, Swiss German, Arabic, Tamil) to uncover cross-lingual safety failures.

I evaluate robustness using LinguaSafe and XSTest benchmarks, and I use a hands-on approach that connects research to actionable defense thinking. I’m also building practical security automation through an AI agent for automated red teaming, integrating LLM-driven decision-making with tools like Nmap and Nikto in a containerized environment.

Beyond research, I ship production-minded ML systems. I built an end-to-end phishing URL classifier with a full MLOps stack (DVC, MLflow, Airflow, Streamlit, and GitHub Actions CI/CD) deployed on GCP—so experiments are trackable, retraining is automated, and results are visible in a live dashboard.

Experience

Work history, roles, and key accomplishments

IT Support Specialist

BCIC Swiss GmbH

Jun 2021 - Jan 2023 (1 year 7 months)

Resolved hardware, software, and configuration issues for corporate users, with a focus on security awareness and system hardening. Monitored and maintained network and server infrastructure in a data center environment and gained exposure to incident response workflows.

hardware troubleshooting Configuration System Hardening Security Awareness Network Monitoring Incident Response

Education

Degrees, certifications, and relevant coursework

ZHAW School of Engineering

Bachelor’s Thesis, Cybersecurity & Machine Learning

2026 - 2026

Activities and societies: Adversarial attack campaigns (English, German, Swiss German, Arabic, Tamil); supervised by Dr. Rebecca Balebako; evaluated with LinguaSafe and XSTest.

Bachelor’s thesis at ZHAW School of Engineering on multilingual adversarial attacks against large language models across five languages. Designed and executed adversarial attack campaigns and evaluated cross-lingual safety using LinguaSafe (adversarial) and XSTest (safe) benchmarks.

ZHAW School of Engineering

Bachelor of Science, Computer Science

Activities and societies: Specialization: Cybersecurity & Machine Learning; coursework in ML, security, data engineering, and cloud computing.

BSc in Computer Science at ZHAW School of Engineering with a specialization in Cybersecurity & Machine Learning. Relevant coursework includes Machine Learning, Information and System Security, Data Engineering, and Cloud Computing.