About Me

I am an AI Engineer in Georgian's AI Lab and a Master of Science in Applied Computing student at the University of Toronto. I work at the intersection of AI and cybersecurity, with a focus on AI-driven vulnerability discovery, model context, security automation, and responsible validation.

Education

M.Sc. in Applied Computing (AI), University of Toronto 09/2025 - 01/2027

Coursework in deep learning, neural networks, knowledge representation, and visual/mobile computing; 3.9/4.0 GPA.

B.Sc. in Applied Computer Science and Artificial Intelligence, Sapienza Università di Roma 09/2021 - 07/2024

Graduated with 110/110 cum laude. Built an ML social-media analysis tool to detect brand impersonation on Facebook and Instagram, achieving 91% accuracy on unseen data.

Exchange, University of Oslo 08/2023 - 12/2023

Ethical Hacking and Network & Communications Security.

Professional Experience

AI Engineer, AI Lab Georgian Toronto
05/2026 - Present
  • Lead AI-driven vulnerability discovery across open-source and partner codebases; found two CVE-assigned vulnerabilities and hundreds of additional findings reported to partner companies, internal teams, and upstream maintainers.
  • Evaluated 10 frontier and widely available models on a common codebase, identifying 350 distinct vulnerabilities; the best individual model found only approximately 35%.
  • Research how repository context, security signals, prompts, and tool outputs improve discovery, then validate attack paths, trust-boundary breaches, and runnable proof-of-concept exploits.
OpenAI/Codex Agentic AI Vulnerability Research Context Engineering
AI Engineer Freelance Projects
06/2025 - Present
  • Prep2PlaySports - Built and manage the entire technology stack, including a Next.js web platform and React Native app, generating six figures in all-time revenue.
  • Bilbel Capital - Built an investment-research agent that retrieves and analyzes public company documents at global scale.
  • Bracket ML - Developed a heterogeneous graph-transformer recommender that improved early AUC by 8%.
Next.js React Native Python Graph ML
Cybersecurity Engineer PwC Digital Malta
07/2022 - 06/2025
  • Implemented Microsoft security operations capabilities using Sentinel, Defender XDR, Purview, and Azure; automated threat detection and response workflows with Python, PowerShell, and Azure Functions.
  • Conducted security investigations, guided clients through vulnerability remediation, and maintained Azure infrastructure supporting internal C2 capabilities.
  • Built Linux, Windows, and Active Directory cyber ranges and delivered hands-on training to 100+ participants; deployed an ELK/Docker honeypot that uncovered Hajime and Mirai activity.
Azure Sentinel Defender XDR Python PowerShell
Trainee PwC Digital Malta
10/2020 - 08/2021
  • Automated client workflows with Python, PowerShell, and VBA, reducing completion time by 90%; performed security health checks, network analysis, and endpoint remediation.
Co-Founder FOMO Malta
01/2023 - 08/2025
Next.js Node.js Kotlin Swift

Research & Achievements

Security Vulnerability Disclosures
2026

Credited as a reporter for CVE-2026-67314 in Axios and CVE-2026-53540 in python-multipart.

Co-authored peer-reviewed research in Decision Support Systems; built NLP pipelines over 100M+ posts and comments using PostgreSQL, sentiment analysis, and fine-tuned LLM classification.

Co-built a biomedical knowledge-graph explorer over approximately 23M relationships using Gemini/Vertex AI, BigQuery, and Cloud Spanner to generate citation-grounded, multi-hop evidence summaries.

Certifications

Contact

Email: ganni.galeacurmi@mail.utoronto.ca | kezitogaleacurmi@gmail.com | LinkedIn | GitHub