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ThomasGil92/README.md

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Thomas Gil

Senior Fullstack Web Developer · Clean Architecture · Automation

React · Next.js · NestJS · Testing · Python


👋 About me

I’m a senior fullstack web developer with 5+ years of experience, specialized in designing scalable, maintainable and well-architected web applications.

My expertise covers frontend and backend architecture, Clean Architecture, automated testing (TDD / BDD), and workflow automation.

I enjoy working on complex domains (SaaS platforms, document management, OCR pipelines, automation systems) and turning them into clear, testable and reliable software.

I also work as a technical trainer and content creator.

📍 Currently based in France
🇺🇸 Ready to relocate and live in the United States
🌍 Open to full-remote or on-site opportunities (US / EU)


🧠 What I do best

  • Design scalable frontend and backend architectures
  • Apply Clean Architecture in production systems
  • Translate business rules into explicit use cases
  • Build robust, testable, long-lived codebases
  • Automate workflows using data processing & AI tools
  • Teach and mentor developers

🏗️ Selected Experience

  • Full-stack document management platform with OCR (AWS Textract)
  • Automated email ingestion, secure storage (S3), signed URLs
  • Real-time processing with Server-Sent Events (SSE)
  • SaaS dashboards with advanced search and exports (PDF / CSV)
  • Test-driven architectures with high domain coverage

🔥 Core Stack


🧪 Architecture & Testing


🎨 Frontend Ecosystem


🧰 Backend, Databases & Automation


📄 Documentation & Knowledge Sharing


🎥 Content Creation (YouTube)


🛠️ Tools


📬 Contact


📊 GitHub Stats

Top Langs


🚀 What I’m looking for

Senior Frontend / Fullstack roles, architecture-heavy projects, SaaS and data-intensive systems.

Open to relocating to the United States.

Let’s build systems that last.

Pinned Loading

  1. RAG-Documentation-System RAG-Documentation-System Public

    A production-ready Retrieval-Augmented Generation (RAG) system for querying documentation using semantic search and LLM-powered answers. Built with FastAPI, LangChain, ChromaDB, and OpenAI.

    Python