Alkiviadis Zoupas
@alkiviadiszoupas
I lead AI systems that detect abuse, fraud, and harmful platform behavior.
United StatesWhat I'm looking for
At LinkedIn, I managed a seven-person Anti-Abuse AI team delivering detection and enforcement systems for fake accounts, account takeovers, and malicious automation. I launched a nearline XGBoost detection model, drove next-generation classification models and data pipelines, and built Claude Code and MCP tooling that supported six-plus Trust & Safety workflows.
Previously, I grew Yelp’s Trust & Safety engineering organization across Spam, Content Safety, and Traffic Quality, protecting roughly 20 million reviews annually while driving 500K+ account closures and 150K+ content removals each year. I led AI-generated review detection, improved Traffic Quality reliability by halving major incidents, and developed engineers into management and tech-lead roles.
Experience
Work history, roles, and key accomplishments
Managed a 7-person Abuse Detection AI team, delivering detection and enforcement systems for fake accounts, account takeovers, and malicious automation. Owned launch of a nearline holistic detection model (XGBoost) and drove execution of next-gen abuse modeling ecosystem.
Education
Degrees, certifications, and relevant coursework
Royal Institute of Technology
Master of Science, Information Technology
Master of Science in Information Technology with a specialization in Information and Communication Systems Security. Master's thesis completed at Siemens AG in Munich.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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