Gustavo Daniel Cortez
About Candidate
• AI-Driven Incident Response: Architected and deployed an on-premise AI agent utilizing N8N workflows and custom
LLMs to automate ticket handling in osTicket and Zammad, significantly reducing Level 1 support overhead.
• Self-Healing Infrastructure: Engineered a self-learning health check system that detects anomalies and executes
remediation procedures; implemented a human-in-the-loop training mechanism allowing the AI to learn new SOPs from
DevOps engineers.
• Secure On-Premise Deployment: Deployed AI models on internal GPU servers, ensuring data sovereignty and zero
reliance on public cloud APIs to maintain strict security and cost control.
• Predictive Maintenance: Researched and implemented predictive algorithms to forecast network switch failures and
hardware anomalies, enabling proactive preventive maintenance.
Location
Education
Work & Experience
• AI-Driven Incident Response: Architected and deployed an on-premise AI agent utilizing N8N workflows and custom
LLMs to automate ticket handling in osTicket and Zammad, significantly reducing Level 1 support overhead.
• Self-Healing Infrastructure: Engineered a self-learning health check system that detects anomalies and executes
remediation procedures; implemented a human-in-the-loop training mechanism allowing the AI to learn new SOPs from
DevOps engineers.
• Secure On-Premise Deployment: Deployed AI models on internal GPU servers, ensuring data sovereignty and zero
reliance on public cloud APIs to maintain strict security and cost control.
• Predictive Maintenance: Researched and implemented predictive algorithms to forecast network switch failures and
hardware anomalies, enabling proactive preventive maintenance.
