7 years building enterprise infrastructure with AI-enhanced DevOps | 99.9% uptime | ISP & DoD network engineering
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๐ข Systems Engineer with 7 years of hands-on IT experience specializing in infrastructure automation and AI-enhanced DevOps workflows
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๐ค Expert in multi-LLM orchestration (Gemini, Claude, GPT) for intelligent infrastructure automation and zero-touch network operations
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๐ง Tech Stack: Docker, Kubernetes, Linux, MikroTik/pfSense/Ubiquiti, MariaDB/MongoDB, Python, Java, Bash, Terraform, Ansible
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๐ผ Currently engineering autonomous "Self-Healing" infrastructure models and managing high-availability server ecosystems
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๐ซ Reach me: lorenztazan@gmail.com | Portfolio
- AI Agentic Network Automation - Multi-LLM orchestration with GPT-4, Claude, Gemini for autonomous network operations
- NetOps Automation Framework - Python-based GitOps framework with Ansible, Terraform, and CI/CD integration
- Network Infrastructure Diagrams - Interactive viewer with production ISP and DoD network topologies
- Regional Fiber ISP - Core Network - 10Gbps backbone serving 700+ subscribers (MikroTik/BGP/CGNAT)
- DoD Contractor - Secure Network - NIST 800-171 compliant infrastructure (0 audit findings)
- Container Orchestration & Infrastructure - Production Kubernetes deployments with GitOps and monitoring
- Bash DevOps Toolkit - Automated deployment scripts for multi-environment infrastructure
- MariaDB Performance Optimization - Clustering, replication, and 56% latency reduction techniques
- ๐ ISP Infrastructure: Deployed 10Gbps backbone serving 700+ subscribers with 99.9% uptime (MikroTik/pfSense)
- ๐ DoD Compliance: Government contractor network with 0 audit findings (Ubiquiti/NIST 800-171)
- ๐ณ DevOps: Reduced deployment time from 30min to <2min with Docker/CI/CD automation
- โก Performance: Optimized database latency by 56% (80ms โ 35ms) with MariaDB clustering
- ๐ฐ Cost Optimization: Achieved 65% infrastructure cost reduction through cloud migration
- ๐ฅ Team Leadership: Led 7-person distributed technical team across development and operations
- ๐ Scale: 24-server ecosystem managing 300+ concurrent users with 99.9% uptime
๐ผ Open to opportunities in Platform Engineering, Site Reliability Engineering (SRE), DevOps, and Cloud Infrastructure roles