Engineering leader bridging strategic vision with hands-on technical execution.

30 years of international experience spanning Fortune 500s, government institutions, and Web3 ecosystems. Currently exploring VP/Director opportunities and fractional CTO consulting while demonstrating modern AI-augmented development practices.

This portfolio showcases technical leadership through code — demonstrating how experienced engineering leaders can orchestrate AI agents as collaborators for hands-on development while maintaining strategic oversight and production governance.

Key Differentiators:

• 🤖 AI-Augmented Workflows - Leveraging Claude, Cursor, GitHub Copilot, and Manus AI for accelerated development
• 🔧 Hands-On Technical Credibility - Not just PowerPoint; actual production-grade code and infrastructure
• 🎓 Leadership Philosophy - Case studies and frameworks demonstrating executive decision-making
• 🚀 Modern Tech Stack - Current with 2025 technologies (Kubernetes, Terraform, Web3, Observability)

Strategic frameworks, transformation case studies, and leadership philosophy

Comprehensive portfolio demonstrating how I combine strategic oversight, human-centric leadership, and AI-augmented workflows to deliver measurable business outcomes at scale.

Highlights:

• 🎯 €13M P&L Management & 40% EBIT
• 👥 144 Engineers across 24 Squads in 5 Countries
• 📈 100% Client Retention Over 14 Years
• ⚡ 99.99% SLA & Elite DORA Performance
• 💰 $250K Annual Cloud Savings via FinOps

What's Inside: Leadership philosophy, transformation case studies (The Sandbox), decision frameworks, and AI-assisted productivity methods.

Frameworks for scaling engineering organizations and DORA metrics optimization

Deep dive into managing 144 engineers across 24 squads with 99.99% SLA and Elite DORA performance. Demonstrates operational excellence patterns.

Key Topics:

• 🏗️ Platform Engineering as a Product (Internal Developer Platforms)
• 📊 Observability Center of Excellence (OpenTelemetry, Prometheus, Grafana)
• 🚨 SRE-Based Incident Management (Blameless Postmortems)
• ☁️ Multi-Cloud Control Plane (Cluster API, GitOps)
• 📚 Documentation-as-Code & Knowledge Sharing Culture

What's Inside: Top 5 industry challenges with optimal solutions, squad topologies, reliability patterns.

AI-augmented toolkit for cost optimization and resource management

Production-ready FinOps toolkit demonstrating strategic cost management, automated optimization, and AI-assisted development.

Tech Stack: Python, Boto3, Terraform, AWS Lambda, CloudWatch

Features:

• 📊 Cost Explorer API integration for detailed reporting
• 🏷️ Automated resource tagging enforcement
• ⏰ EC2 scheduling for non-business hours
• 🧹 Snapshot cleanup and lifecycle policies
• 💰 Right-sizing recommendations
• 📈 CloudWatch dashboards and budget alerts

What's Inside: Complete Python scripts, Lambda functions, Terraform modules, cost monitoring dashboards.

Production-ready IaC for Web3 infrastructure on AWS

Demonstrates how infrastructure leaders orchestrate AI agents for IaC development while maintaining production governance.

Tech Stack: Terraform 1.6+, AWS (VPC, EC2, ALB, S3, CloudFront), Docker, GitHub Actions

Features:

• 🏗️ Complete AWS infrastructure (VPC, ALB, ASG, CloudFront)
• 🔐 Security hardening (IAM, encryption, least-privilege)
• 📊 CloudWatch monitoring and alerting
• 🔄 CI/CD with automated testing and security scanning
• 📐 Multi-environment support (dev, prod)

What's Inside: Reusable Terraform modules, security scanning (Checkov, tfsec), architecture diagrams.

Production-ready monitoring with Prometheus, Grafana, and CloudWatch

Demonstrates SRE best practices and AI-augmented observability for AWS infrastructure.

Tech Stack: Prometheus, Grafana, AlertManager, CloudWatch, Docker, Terraform

Features:

• 📊 Pre-built dashboards (EC2, RDS, ALB, Lambda, Cost)
• 🚨 Comprehensive alerting (Critical/Warning/Info levels)
• 🔗 CloudWatch integration for native AWS metrics
• 🎯 Real-world monitoring example (GitHub Services)
• 🐳 Docker Compose for local testing
• 🏗️ Terraform deployment for production

What's Inside: Grafana dashboards, Prometheus alert rules, AlertManager config, runbooks.

Production-ready Web3 dApp with AI-assisted development

Demonstrates how technical leaders leverage AI for accelerated React/TypeScript development while maintaining blockchain security.

Tech Stack: React 19, TypeScript, Solana Web3.js, Vite, Tailwind CSS, Docker

Features:

• 🔌 Multi-wallet support (Phantom)
• 💰 Real-time SOL balance display
• 💸 Secure SOL transfers with transaction confirmation
• 🎨 Cyberpunk UI (dark theme, neon accents)
• 🐳 Docker deployment
• 🧪 Comprehensive testing (Vitest, React Testing Library)
• 🔄 CI/CD pipeline (GitHub Actions)

What's Inside: React components, wallet integration, blockchain interactions, automated testing.

Infrastructure & Platform:
Kubernetes Terraform AWS GCP Azure Ansible ArgoCD Helm

Observability & SRE:
Prometheus Grafana CloudWatch Datadog PagerDuty OpenTelemetry

Languages & Frameworks:
Python TypeScript Go Bash HCL React Node.js

AI & Automation:
Claude GitHub Copilot Cursor Manus AI LangChain OpenAI API

Web3 & Blockchain:
Solana Web3.js Ethereum Wallet Adapters Smart Contracts

🌐 Professional Profile: metafive.one
💼 LinkedIn: in/benlakhoua
📧 Email: mlakhoua@metafive.one
📝 Technical Blog: metafive.one/blog

🔍 AI-augmented infrastructure management patterns - Orchestrating AI agents for platform engineering
🚀 Building fractional CTO consulting practice - Platform engineering excellence for scale-ups
📈 Trading system development - Algorithmic strategies with technical analysis
🎓 Knowledge sharing - Technical documentation and case studies

⬇️ Explore pinned repositories below for deep technical dives