Lamjed Gaidi
Senior full-stack engineer (React, Next.js, TypeScript, Node.js/NestJS, React Native) with five years turning business problems into production systems in logistics, HRTech, TravelTech and EdTech. I own delivery end to end: requirements, API contracts, tested code, automated pipelines and operational reliability. I build applied AI where it removes real manual work, as tool-calling agents (LLMs, RAG, MCP) grounded in business data under read-only access and human approval. At IntiGo I work across web, mobile, integrations and e-commerce on a platform that has delivered 10M+ parcels.
Who is Lamjed Gaidi?
Lamjed Gaidi is a senior full-stack software engineer based in Tunis with more than five years of experience (a Sup'Com telecommunications engineer). He designs and ships web, mobile and backend products in TypeScript, React, Next.js, Node.js, FastAPI and React Native, and integrates applied AI (tool-calling LLM agents, MCP, RAG) with read-only access and human approval. He has worked at IntiGo (last-mile delivery, Tunisia) since April 2026, where he built Argus, an LLM agent whose email-triage V1 is in use, Shopify, WooCommerce and PrestaShop integrations, and a family of four iOS apps and one Android app; earlier he delivered products for Lodgo, FitIn, 24Resa, Mindquest, Qramer and TikTrak.
Background
I'm a telecommunications engineer from Sup'Com (9th of 740 nationally in the preparatory-school exam) who became a product engineer by shipping: five years across an EdTech marketplace, a microfrontend HR platform, a multi-tenant travel-booking system and now a last-mile delivery operator.
What I care about is the unglamorous part: clear API contracts, tests that catch regressions, pipelines that release without drama, and code a teammate can change next year. At Tech-Expert that meant resolving 180+ SonarQube vulnerabilities and raising test coverage by 45%.
I now bring the same discipline to AI: AI widens what one engineer can build, while judgment still decides what to build, how to verify it and who is accountable. At IntiGo I am building Argus, an LLM agent that reads production data through tools and MCP, drafts decisions, and keeps a human approving every action. Email triage V1 is in use; further modules are planned.
I'm looking for senior full-stack or applied-AI product roles in France, Germany, the Netherlands, the UK or Canada, in teams where engineers own architecture and outcomes, not just tickets.
How I engineer
AI expands what one engineer can build; engineering judgment still decides what to build, how to verify it, and who is accountable. I use AI to move faster, and tests, code review and security discipline to keep the result reliable and maintainable. I read the codebase deeply before changing it and treat maintainability and security as first-class requirements.
Expertise
- Languages & core
- TypeScript, JavaScript, Python, PHP, SQL
- Frontend & web
- React, Next.js (SSR / ISR), Tailwind CSS, Storybook, Microfrontends
- Backend & APIs
- Node.js, NestJS, Express, FastAPI, REST, GraphQL, JWT / RBAC
- Mobile
- React Native, Expo (EAS), In-app purchases, WebRTC
- AI & LLM integration
- Claude & OpenAI APIs, Tool calling, MCP, RAG (embeddings, pgvector), Structured outputs, Human-in-the-loop, Local LLMs (Ollama), LangChain
- Data
- PostgreSQL, MongoDB, Redis, Supabase, MySQL
- Testing, quality & CI/CD
- Jest, Cypress, Playwright, SonarQube, GitHub Actions, GitLab CI
- Architecture & practices
- Clean / hexagonal architecture, Event-driven design, Design systems, Code review & mentoring, Spec-first delivery
- Cloud & infrastructure (working knowledge)
- Docker, Nginx, Azure (AKS), AWS (S3), Vercel
Education
- Telecommunications Engineer, Higher School of Communications of Tunis (Sup'Com) (Sep 2018 -- Oct 2021 (3yrs))
- Undergraduate University Studies Diploma (DEUPC), Preparatory Institute for Engineering Studies (IPEIN) (Sep 2016 -- Jun 2018 (2yrs), Rank: 9 / 740 national)
Languages: Arabic, French, English (TOEIC 855).