Full-Stack Software Engineer

📍 Based in Tunisia | 🌍 Open to European relocation with visa sponsorship

I'm a full-stack software engineer with 3+ years of professional experience building production-grade systems at scale. At Quinta (formerly Quicktext), I designed and shipped multiple core platforms serving 3,000+ hotels globally, handling 10,000+ daily guest conversations and 80+ third-party integrations.

What I do best:

• 🏗️ System Design — Architecture for scale, reliability, and real-time processing
• 🤖 AI/LLM Integration — MCP servers, OpenAI APIs, agentic workflows
• 🔧 Full-Stack Development — Node.js/NestJS backend + React/Next.js frontend
• 📊 Data Pipelines — Real-time synchronization, ETL, distributed systems
• 🔌 API Integration — Designed 80+ booking engine connectors (REST + URL-based)

Technologies: TypeScript, Node.js, NestJS, React, Next.js, PostgreSQL, MongoDB, Elasticsearch, Redis, Docker, Kubernetes, n8n, OpenAI API, Model Context Protocol (MCP)

2023–2026 | Tunis, Tunisia (Remote & On-site)

• Designed and implemented multiple MCP servers exposing hotel backend services as LLM-compatible tools
• Integrated with OpenAI Apps SDK enabling conversational AI to interact with hotel systems
• Technologies: TypeScript, Nest.js, Model Context Protocol, OpenAI API

• Built end-to-end platform distributing 3,100+ hotel attributes to 100+ partners (Booking.com, Expedia, Google)
• Designed scalable data pipeline with n8n automation workflows for real-time synchronization
• Implemented monitoring & debugging tools with automated error logging and Microsoft Teams notifications
• Impact: Enabled real-time data sync across 500+ properties, supporting hundreds of travel & AI partners
• Technologies: NestJS, Next.js, MongoDB, n8n, Google Gemini API, TypeScript

• Delivered 80+ end-to-end booking engine integrations (REST + URL-based)
• Engineered real-time availability sync, pricing retrieval, and conversational booking flows
• Integrated Google Places, Distance Matrix, Yelp, Viator, and regional tourism APIs
• Designed modular connectors (MCPs) standardizing external API communication
• Impact: Enabled real-time bookings for thousands of hotels across multiple platforms
• Technologies: Node.js, Express.js, Next.js, TypeScript

• Maintained structured hotel data schemas across conversational AI system
• Identified and resolved production bugs ensuring 99.9% uptime
• Collaborated with AI team to develop features for handling complex, context-rich guest requests
• Scale: Processing 10,000+ daily conversations for 3,000+ hotels
• Technologies: Microsoft Bot Framework, Node.js, Express.js, OpenAI API, TypeScript

• Contributed across development sprints adding 3,100+ structured data points
• Enhanced frontend tools for hotel data validation and management
• Improved how structured data is consumed by AI assistants for accurate responses
• Technologies: Next.js, NestJS, MongoDB

• Designed and implemented data pipeline converting conversational guest requests into operational tasks
• Built backend workflows to collect, clean, normalize, and persist conversation data
• Developed end-to-end flow from AI conversation capture → task creation → frontend visualization
• Enabled integrations allowing task data sync with external hotel management platforms
• Impact: Streamlined 500+ daily operational tasks from guest requests
• Technologies: Node.js, NestJS, Microsoft Bot Framework, OpenAI API, TypeScript, Next.js

• Diagnosed and resolved search-related database issues improving lead retrieval
• Fixed analytics data inconsistencies in Next.js UI
• Optimized backend calculation logic for booking intentions and rate changes
• Technologies: Node.js, Next.js, Elasticsearch, MongoDB, NestJS, TypeScript

• Implemented backend analysis engine orchestrating crawling, parsing, and scoring workflows
• Built hybrid crawling pipeline: Axios + Cheerio for fast HTML parsing, Puppeteer for JS-heavy pages
• Developed rule-based scoring engine evaluating structured data, metadata, crawlability, FAQ schema
• Built reporting interface using Next.js visualizing audit results
• Impact: Helped 500+ hotels understand SEO/AEO readiness
• Technologies: NestJS, Next.js, Puppeteer, Axios, Cheerio, TypeScript

• Maintained and improved multilingual FAQ generation pipeline for hotel websites
• Resolved cross-service data synchronization between Q-SEO, Q-Data, Q-Sales
• Implemented SEO-optimized FAQ schema compatible with Google rich results
• Technologies: NestJS, MongoDB, TypeScript

• Built complete billing platform from scratch (backend + frontend)
• Implemented service charge tracking, billing history aggregation, invoice access
• Developed automated payment due notifications
• Technologies: NestJS, ReactJS, MongoDB, AntD

• Languages: TypeScript, JavaScript
• Frameworks: NestJS, Express.js, Node.js
• Databases: PostgreSQL, MongoDB, Elasticsearch
• Caching: Redis, in-memory strategies
• API Design: REST, GraphQL, MCP (Model Context Protocol)
• Patterns: Microservices, SOLID principles, design patterns

• Frameworks: React.js, Next.js
• Styling: CSS, Tailwind, Material-UI, AntD
• State Management: Redux, Context API
• Tools: Vitest, Testing Library, ESLint, Prettier

• LLM APIs: OpenAI API, Claude API, Google Gemini
• AI Frameworks: LangGraph
• Agentic Systems: MCP (Model Context Protocol) server design & implementation
• Prompt Engineering: RAG, function calling, context management

• ETL/Workflow Automation: n8n, custom pipelines
• Data Processing: Real-time synchronization, data normalization, aggregation
• Search: Elasticsearch (indexing, querying, aggregations)
• Integration: 80+ third-party API connectors (REST, URL-based)

• Containerization: Docker
• Orchestration: Kubernetes basics
• CI/CD: GitHub Actions, automated testing & deployment
• Cloud: cloud-native principles
• Monitoring: Structured logging, distributed tracing, error monitoring

• Version Control: Git, GitHub
• API Testing: Postman, curl
• Design: Figma (UI/UX prototyping)
• Project Management: Agile/Scrum, sprint planning
• Code Quality: Code reviews, testing, documentation

Problem: Hotels use 80+ different booking engines with incompatible APIs Solution: Designed standardized connector interface with modular adapters

• Delivered 80+ REST & URL-based integrations
• Real-time availability & pricing sync
• Conversational booking flows for guest requests
• Impact: Real-time bookings for 3,000+ hotels

Problem: Distribute 3,100+ hotel attributes to 100+ partners in real-time Solution: Built scalable data pipeline with n8n automation

• Extract hotel data from internal systems
• Transform & distribute to Booking.com, Expedia, Google, AI partners
• Real-time monitoring & error handling
• Impact: Supporting 50+ hotels with partner integrations

Problem: Hotels need to understand SEO and AI crawler readiness Solution: Built hybrid crawling pipeline (static + dynamic rendering)

• Axios + Cheerio for fast HTML parsing
• Puppeteer for JavaScript-heavy pages
• Rule-based scoring for SEO/AEO signals
• Visual reporting interface
• Impact: Helped 50+ hotels optimize for search engines

Problem: LLM assistants couldn't interact with hotel backend services Solution: Designed MCP servers exposing APIs as callable tools

• Multiple MCP servers for different hotel services
• Integrated with OpenAI Apps SDK
• Enables conversational AI to perform real business actions
• Impact: Bridging AI systems with production hotel systems

• Handling systems for 3,000+ hotels, 10,000+ daily requests
• Handling 80+ third-party integrations without failures
• Real-time data synchronization across 100+ partners
• Microservices architecture, API gateways, circuit breakers

• Implementing MCP (Model Context Protocol) servers
• Function calling & tool use with LLMs
• RAG (Retrieval-Augmented Generation) patterns
• Prompt engineering for production systems

• From requirements to production (design → implementation → deployment)
• Building both backend services and frontend dashboards
• Understanding the entire data flow
• Production support and incident response

• SOLID principles in action
• Design patterns for scalability
• Comprehensive testing (unit, integration, E2E)
• Code reviews and knowledge sharing

I'm actively seeking opportunities in Europe with visa sponsorship.

Ideal roles:

• Full-Stack Engineer at scaling companies
• Backend Engineer focusing on systems design
• Product Engineer with end-to-end ownership
• AI/LLM Integration Engineer

Looking for: Visa sponsorship, learning opportunity, impact-driven work

• ✅ 3+ years of professional full-stack development
• ✅ Built production systems serving 3,000+ businesses
• ✅ Designed 80+ integrations without single point of failure
• ✅ Expert in system design, real-time systems, AI integration
• ✅ Published code in production serving 10,000+ daily users
• ✅ Experienced with microservices, databases, DevOps, AI/LLM
• ✅ Available for immediate interviews, relocation to Europe

If you're building systems at scale, integrating AI, or solving complex engineering problems — let's talk!

💬 Email: zied_ch@outlook.fr
🔗 LinkedIn: linkedin.com/in/zied-allouen
🐙 GitHub: github.com/ziedallouen