Danil T
Application Security Expert (Ai Security) @Kuper
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WORK HISTORY
Application Security Expert (Ai Security) @Kuper
Led security architecture reviews for AI/ML services, identifying and mitigating 25+ critical vulnerabilities such as prompt injection and data poisoning before production deployment, preventing potential breaches affecting 1M+ user records.• Developed and implemented comprehensive security requirements for all AI systems including MCP and RAG architectures across 8 product teams, standardizing security practices and reducing critical vulnerabilities in AI deployments by 65% within 6 months.• Executed targeted penetration tests on ML inference APIs, discovering and partnering with ML teams to patch critical flaws that could have led to model theft or adversarial attacks.• Created and delivered security training for 50+ data scientists and ML engineers, decreasing common vulnerabilities in pre-production code by 45% in 6 months and reducing remediation costs by an estimated $85K annually.• Owned the security roadmap for the company\'s flagship AI products, implementing data handling protocols that ensured successful GDPR/CCPA compliance audits for sensitive PII training data.
EDUCATION
Perm State University (PSU)
Bachelor's degree, Information Technology
ABOUT DANIL T
7+ years in Application Security with a 3+ year focus on AI/ML Security.• Specialized in AI Red Teaming, threat modelling, and securing LLMs in large-scale production environments.• Prevented breaches for 1M+ users by identifying and mitigating 25+ critical AI-specific vulnerabilities.• Reduced critical AI vulnerabilities by 65% across 8 product teams through standardized security
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