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
Coursework in deep learning, neural networks, knowledge representation, and visual/mobile computing; 3.9/4.0 GPA.
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.
Ethical Hacking and Network & Communications Security.
Professional Experience
- 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.
- 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%.
- 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.
- Automated client workflows with Python, PowerShell, and VBA, reducing completion time by 90%; performed security health checks, network analysis, and endpoint remediation.
- Built and operated event-discovery mobile and web applications serving 8,000+ users and topping local charts.
- Won Best Digital Disruptor and secured a €20,000 accelerator grant.
Research & Achievements
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