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.
Architected a real-time AI wellbeing platform as a TypeScript monorepo using Next.js, Fastify, and PostgreSQL. Engineered LLM voice conversations via OpenAI Realtime API and Twilio with deterministic finite state machine safety controls. Built a post-call AI pipeline for structured wellbeing signal extraction and automated triage. Hardened authentication, rate limiting, and input validation across service boundaries.
Increased YARA rule detection rate by 200% through iterative hypothesis-test-measure-improve cycles. Exposed critical implementation flaws through adversarial testing of the EDR system. Conducted a white-box penetration test of the SASE platform and uncovered multiple critical vulnerabilities.
Participated in 6+ network security assessments on real enterprise environments. Achieved complete infrastructure compromise in the majority of engagements. Assisted in writing formal penetration testing reports for technical and non-technical audiences.
Conducted 2 full-scale penetration tests on SMEs from scoping through final report delivery. Completed advanced courses in reverse engineering, malware analysis, mobile security, advanced web pentesting, and network security.
Won the WU Startup Challenge 2024 by helping build a VR platform for real-time access to live cultural events.
BSc in Applied Computer Science, Major in Cybersecurity
Courses included reverse engineering, malware analysis, digital forensics, advanced web pentesting, mobile security, and network security.
Exchange Program
Exchange studies in South Korea.
Erasmus+ BIP
Erasmus+ BIP program in Austria.
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