Senior DevOps Engineer | Kubernetes & Cloud Infrastructure Architect | Platform Engineering Enthusiast

I'm passionate about designing scalable, automated infrastructure and building developer platforms that accelerate innovation. Currently exploring AI-powered DevOps automation and cloud-native architectures.

I'm a State Engineer in Information Technology and Communication Networks with hands-on expertise in:

• Kubernetes Administration | CKA Certified
• Cloud Infrastructure | AWS Certified DevOps Engineer (DOP-C02)
• Infrastructure as Code | Terraform, Ansible, CloudFormation
• CI/CD & GitOps | GitHub Actions, ArgoCD, Jenkins
• Platform Engineering | Building internal developer platforms (IDPs)
• AI Integration | LLM-powered automation and intelligent agents

Currently at Société Générale Africa Business Services, I design and implement enterprise-grade deployment pipelines that automate infrastructure provisioning and application delivery. I'm deeply engaged in full-stack DevOps — from cloud infrastructure to Kubernetes orchestration to sophisticated monitoring and incident management.

Key Highlights:

• 🏗️ Architected Kubernetes clusters in air-gapped environments (zero internet access)
• 🤖 Building AI-powered DevOps tools and autonomous pipeline automation
• 📦 Created open-source tools for DevOps workflows and infrastructure management
• 🔄 Implemented GitOps-based deployment strategies with ArgoCD
• 🎓 Continuously learning emerging technologies: AI agents, MCPs, advanced K8s patterns

🎯 AI-Powered Portfolio — Next-Gen Professional Platform
A sophisticated full-stack application showcasing DevOps expertise through cutting-edge technology. Built with React/Vite frontend, Express/TypeScript backend, Prisma ORM with PostgreSQL on Neon, and powered by Google Gemini AI. Features include:

• 🤖 Context-aware AI Assistant: Answers career questions, schedules meetings, and books appointments directly into the database
• 📊 Interactive GitHub activity heatmap and contribution tracking
• 🎨 Terminal-inspired dark theme with pixel-perfect responsive design
• 📋 Dynamic CV export via Puppeteer, Calendly integration, rate limiting
• 🔒 Enterprise-grade security: CSP headers, CORS policies, Cloudflare WAF
• 🎬 Branded voiceover walkthrough with natural SSML-based pacing

Status: ✅ Live & Production

⚡ AutoFlow Studio — The Universal n8n Automation Platform
A revolutionary low-code/no-code SaaS frontend built on top of n8n, empowering non-technical users to build, manage, and monetize AI-powered automation products. Enterprise-ready architecture with:

• 🎨 Zero-backend-code design (pure React + n8n API orchestration)
• 🔧 12 pre-built automation use cases (lead qualification, email campaigns, data processing, etc.)
• 💰 Three business models: white-label SaaS, API licensing, agency services
• 🔐 Role-based access control, workflow versioning, audit logging
• 📈 Revenue analytics and usage dashboards
• 🚀 Designed for scale: 100+ concurrent workflows, multi-tenant architecture

Status: 🚧 In Development

🎯 KubeLab — Visual Kubernetes Manifest Builder
A groundbreaking visual IDE for designing Kubernetes manifests without YAML hassle. Built with Next.js, ReactFlow, and Prisma, featuring:

• 🎨 Drag-and-drop canvas with 100+ K8s resources (native + ecosystem CRDs)
• ✨ Real-time YAML generation and validation
• 🔄 GitOps integration for direct cluster deployment
• 📦 Ecosystem CRD support: cert-manager, ingress-nginx, ArgoCD, Prometheus
• 🧪 Instant dry-run and deployment preview
• 🔐 Admin dashboard for resource library management

Status: 🚧 Coming Soon

⚙️ AnsibleForge — Enterprise Ansible Deployment Platform
A comprehensive SaaS UI for managing Ansible roles and deployments at enterprise scale. Built for teams managing multi-cloud infrastructure:

• 🔐 Isolated Admin Panel with TOTP + Email OTP 2FA authentication
• 📢 Platform-wide notification system with RSS feed integration
• 📊 Full observability stack: Loki logs, Prometheus metrics, Jaeger distributed tracing
• 🎛️ Three-phase roadmap: K8s Jobs execution isolation → RabbitMQ queuing → OpenRouter AI integration
• 🤖 Model-agnostic AI integration for intelligent playbook suggestions
• 📈 Real-time execution monitoring with comprehensive audit trails

Status: 🚧 Coming Soon

🔐 PgaaS — PostgreSQL as a Service CLI
A production-grade, self-healing CLI tool bringing managed-service experience to on-premise and cloud PostgreSQL. Zero-Data-Loss philosophy with:

• 🏥 Self-healing capabilities: Automatic recovery, connection pooling optimization
• 💾 Backup & Recovery: Point-in-time recovery, automated snapshots, replication management
• 📊 Lifecycle Management: Schema versioning, migration automation, performance tuning
• 🔍 Monitoring Integration: Prometheus metrics export, health checks, alerting
• 🚀 High Availability: Streaming replication, failover automation
• 💻 Works seamlessly with RDS, Azure Database, self-hosted instances

Status: ✅ Stable Release

🤖 AWS DOP-C02 Exam Simulator — Professional Certification Practice
An open-source, AWS Console-inspired practice exam platform trusted by hundreds of engineers. Features:

• 📚 300+ Questions: Covering all DOP-C02 exam domains (IAM, EC2, ECS, EKS, CodePipeline, etc.)
• 🎨 Native AWS UI: Pixel-perfect recreation of AWS Console styling
• 🌙 Dark/Light Mode: Eye-friendly testing experience
• 📊 Animated Scoring Ring: Real-time performance visualization
• 📈 Progress Tracking: Domain-wise analysis and weak spot identification
• 🚀 Community-Driven: 1000+ GitHub stars, actively maintained

Status: ✅ Live & Production | GitHub Repo

🔄 RiverFlow — Universal CI/CD Orchestration Engine
A high-performance, unified automation orchestration platform combining Terraform, Ansible, Docker, and Kubernetes into a single workflow:

• 🎯 Multi-Cloud Support: AWS, Azure, GCP, on-premise targets
• 🔧 Intelligent Provisioning: Terraform + Ansible orchestration with state management
• 🐳 Container Integration: Docker builds, image scanning, registry management
• ☸️ Kubernetes Deployment: Helm + ArgoCD integration, canary deployments
• 🔍 Security Scanning: SAST/DAST integration, vulnerability detection
• 🎨 React-Based Wizard: Intuitive GUI for non-engineers to orchestrate complex workflows
• 📊 Audit & Logging: Complete pipeline traceability, rollback capabilities

Status: 🚧 In Development

🔄 DevOps Dock — Production-Grade DevOps Learning Lab
A comprehensive Docker Compose-based lab environment replicating enterprise DevOps stacks:

• 🐳 Multi-Container Setup: Jenkins, ArgoCD, Prometheus, Grafana, Alertmanager
• 🔄 GitOps Workflow: ArgoCD with Istio traffic splitting and canary deployments
• 🎛️ Jenkins CasC: Configuration-as-Code setup with multi-stage pipeline examples
• 📊 Full Observability: Prometheus metrics scraping, Grafana dashboards, Alertmanager rules
• 🧪 Sample Application: Node.js app with Jest unit tests, multi-stage Dockerfile
• 📚 Educational: Well-documented, perfect for learning GitOps in action

Status: 🚧 Coming Soon | GitHub Repo

🔐 Log Purger — Enterprise Log Archival & Purging
A production-tested Python tool for managing massive log volumes with enterprise-grade reliability:

• 📦 S3 Archival: boto3-powered uploads with exponential backoff retry logic
• 🔒 Data Integrity: ETag-based verification, checksumming for guaranteed safety
• ⚡ Performance: Parallel uploads, connection pooling, configurable batch sizes
• 🎯 Lifecycle Management: Automated archival policies, retention enforcement
• 📦 Multi-Distribution: pip package, Docker image, git clone options
• 💡 Smart Filtering: Pattern-based log selection, compression options

Status: ✅ Production Ready | GitHub Repo

🔄 RiverFlow — Universal CI/CD Automation for Modern Engineering
RiverFlow is a high-performance orchestration engine designed to build, provision, scan, and deploy any application to any cloud or on-premise target. It combines the power of Terraform, Ansible, Docker, and Kubernetes into a single, unified workflow managed via a stunning React-based wizard.

Status: 🚧 In Development

All projects are open-source or publicly available on GitHub. Star ⭐ your favorites!

Currently diving deep into:

• AI Agents & LLMs — Building autonomous DevOps workflows
• Model Context Protocol (MCP) — Extending AI capabilities
• Advanced Kubernetes Patterns — Advanced scheduling, cost optimization
• Infrastructure as Code — Terraform modules, state management
• Observability at Scale — Distributed tracing, log aggregation

Learning Resources I Recommend:

Always open to:

• 💡 Discussing DevOps, Kubernetes, and cloud infrastructure
• 🔗 Collaborating on open-source projects
• 📚 Sharing knowledge and best practices
• 🚀 Exploring innovative DevOps solutions