Cybersecurity Graduate and Developer

I am a cybersecurity graduate and developer working at the intersection of offensive security and AI engineering. My background combines hands-on penetration testing, security research, and building production-grade LLM-powered platforms.

I have experience conducting enterprise penetration tests, performing white-box security assessments, and uncovering critical vulnerabilities in real environments. I also enjoy adversarial testing, reverse engineering, malware analysis, and improving detection systems through iterative experimentation.

On the engineering side, I have built TypeScript and Python-based systems, including real-time AI applications, structured extraction pipelines, and automation tools for security workflows. I am especially interested in deterministic, safety-aware LLM orchestration and practical AI applications for cybersecurity.

I have worked on projects such as an automated pentest report writer, vulnerable web applications for security testing, and privacy-focused local LLM tools. I also have experience with backend systems, DevOps, infrastructure, and self-hosted services.

My professional experience includes internships and project work in endpoint security, penetration testing, and full-stack development. I have contributed to security assessments, report writing, and hardening authentication, rate limiting, and input validation across service boundaries.

I hold a BSc in Applied Computer Science with a major in Cybersecurity and have completed additional training in reverse engineering, malware analysis, digital forensics, advanced web pentesting, mobile security, and network security. I am CEH certified and currently preparing for OSCP and other security certifications.

I am open to relocation and am looking for opportunities where I can continue combining offensive security, AI engineering, and practical software development.