Lead Full-Stack Engineer & Tech Project Manager with years of experience designing, architecting, and shipping production-grade cloud-native and vertical SaaS platforms — including a real-time synchronization engine connecting a central server to a distributed fleet of 10,000+ devices. I've driven a 30% reduction in deployment times and a 50% cut in MTTR by building RESTful and GraphQL services across the MERN stack, Next.js/TypeScript, Python (FastAPI/Django), C#/.NET, Java (Spring), and Go — with a consistent focus on event-driven design, observability, and reliability at scale.

• 🏢 Currently Lead Full-Stack Engineer & CTO at DevScale Digital Solutions — owning architecture and technical roadmap across a portfolio of SaaS and AI-native client platforms spanning 5+ concurrent initiatives.
• 🧱 Full-stack depth across the MERN ecosystem (MongoDB, Express, React, Node.js) and Next.js/TypeScript, complemented by polyglot backend experience in Python, C#/.NET, Java, and Go.
• 🤖 Building LLM/RAG pipelines, MCP-based agentic AI, and multi-agent orchestration systems with LangChain & LangGraph.
• ☁️ Multi-cloud, DevOps-first mindset — AWS · GCP · Azure, Docker, Kubernetes, Terraform, and CI/CD automation (GitHub Actions, Jenkins, Bitbucket Pipelines).
• 🏗️ Strong foundation in Domain-Driven Design, Event-Driven Architecture, Microservices, and Service-Oriented Architecture (SOA) — grounded in formal design-patterns training.
• 📊 Track record of measurable impact: 30%+ faster deployments, 50% lower MTTR, 45% smaller frontend bundles, 80%+ integration test coverage on modernized services.

Full-stack MERN-based retail microservices system with Docker containerization and Kubernetes orchestration, managing product inventory and orders with cloud-native configuration.

Node.js Express MongoDB Docker Kubernetes

Modular ETL pipeline with vector store integration, LLM agent orchestration, and applied logistics scenario implementation.

Python ETL Vector Store LLM Agents

Production-ready multi-agent orchestrator backend that routes complex prompts through a specialized AI agent assembly line, built entirely on .NET.

C# .NET Multi-Agent Orchestration

Real-time cold chain logistics monitoring SaaS built for Tunisian businesses exporting temperature-sensitive goods to European markets.

Java Spring SaaS Real-Time

AI-powered Career Operating System SaaS scaffold — premium landing page, dashboard, pricing, and admin structure built on Next.js.

TypeScript Next.js SaaS AI

Agentic system built on the Model Context Protocol (MCP) for multi-agent coordination and tool-use workflows.

JavaScript MCP Agentic AI

Automated quality-assurance testing framework with intelligent test generation and reporting.

JavaScript Testing Automation