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Ophélie GaudinOG

Ophélie Gaudin

Supermalter

GenAI & Fullstack Engineer | LLM | RAG | Next.js

€500/day
6 projects
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Ophélie

Does your product need an AI layer that actually works in production, not just in demos?

Fullstack TypeScript developer and GenAI engineer, I've been supporting startups, SMEs, and large corporations for 4 years. I work solo or as a team reinforcement on web and AI projects in production - integrating AI into existing products, building SaaS from scratch, taking over complex projects with technical debt.

My approach: clean, tested TypeScript code, and AI that brings real value to users, not a gimmick.

Among my achievements:
-> Replick (LegalTech): R&D then AI legal writing engine in TypeScript/Node.js (RAG, SSE streaming, multi-layer cache). Adopted in production by over 1,000 users for ~10,000 arguments based on ~20,000 legal texts.
-> Nuances.builders: booking platform from scratch in React/Next.js/TypeScript (Stripe multi-currency, Zoom video, AI moderation). Delivered turnkey.
-> Nuances.builders: secure LegalTech API (Next.js, Supabase, Docker) with organization-based permissions and AI contract analysis engine integration.
-> Airbus Protect: front and back dev on a cybersecurity app in production for 15 years, team of 10+ devs.

Summary: about ten projects delivered in 4 years, including 2 full SaaS and one AI engine in production.

Technical Stack:
Frontend: React.js, Next.js, TypeScript
Backend: Node.js, TypeScript, GraphQL/Apollo, Python
AI: LLM APIs, RAG, agents, embeddings, streaming
Data: MongoDB, PostgreSQL/Supabase
Infra: Docker, CI/CD, GitHub Actions, Stripe

In a team: rapid integration into an existing codebase, technical proposal strength, clear communication on progress and risks.

Looking for a developer who can take on technical subjects, integrate AI cleanly, and move a team forward? Describe your situation, let's discuss.
  • French

    Native or bilingual

  • English

    Fluent

Can work on-site
Paris (up to 50km), Toulouse (up to 50km), Marseille (up to 50km), Lyon (up to 50km), Bordeaux (up to 50km)

Experience

  • Replick
    Fullstack & GenAI Developer | TypeScript | React.js | Node.js
    LEGAL
    January 2025 - Today (1 year and 7 months)
    France
    → Mission Objective:
    Take over the maintenance of a legal SaaS in production (over 1,000 active users, ~10,000 arguments, 20,000 legal sources) and develop AI features to speed up the drafting of lawyer's briefs.

    → Achievements:
    Took over and maintained an NX monorepo (2React.jsapps, ApolloGraphQLAPI, Word plugin) - responsive on bugs, stable in production, direct communication with the founder.

    R&D phase to structure existing data (~10,000 arguments, ~20,000 legal texts) and identify the right AI integration approach - model evaluation, data structuring for LLM, RAG architecture design.

    Developed the AI legal writing engine (**TypeScript**, **Node.js**, LLM APIs) - suggestions for legal and factual arguments, based on sources and case context - accelerating brief production for lawyers.

    Designed a conversational agent with tools (search for relevant arguments, counter-arguments, legal texts) - enhanced user autonomy in exploring their case files.

    Implemented an AI administration dashboard to adjust parameters (LLM, temperature) - autonomous control by non-technical clients.

    Set up internal automations to facilitate the Replick team's work - time savings on repetitive tasks and process reliability.

    IntegratedStripe(subscriptions + credit packs), PostHog monitoring, SSE streaming, multi-layer caching, production deployment (Scalingo, MongoDB Atlas, GitHub Actions CI/CD).

    → Technical Stack:
    TypeScript, React.js, Node.js, GraphQL, Apollo, MongoDB, NX, LLM APIs, RAG, SSE, Stripe, PostHog, GitHub Actions, Scalingo, Netlify

    Result: AI features in production on a base of ~20,000 arguments, adopted by early users. Mission ongoing.
    LLM RAG Generative Artificial Intelligence Typescript Fullstack
  • Nuances.builders (ex. I Will Code It)
    Fullstack & GenAI Developer
    DIGITAL AND IT
    September 2023 - March 2026 (2 years and 6 months)
    Toulouse, France
    → Mission Objective:
    Develop SaaS and web projects for various clients (LegalTech, wellness, e-commerce), from technical design to delivery, independently or in direct collaboration with clients.

    → Achievements:
    Created a booking and payment platform from scratch inReact.js/Next.js(**TypeScript**,Supabase**) - multi-currency **Stripeescrow system,Zoomvideo conferencing with webhooks, AI moderation, multilingual support (FR, EN, ES), TDD approach. Turnkey platform delivered.

    Developed a secure API for a LegalTech client (**Next.js**, **Supabase**, Docker) - organization authorization management (RLS), credit system via **Stripe**, integration with an AI contract analysis engine.

    E-commerce andShopifyintegrations for several clients - developed interfaces and connections to existing platforms.

    Regular collaboration with clients for requirements gathering, technical solution definition, and progress demonstrations.

    → Technical Stack:
    TypeScript, React.js, Next.js, Supabase, Stripe, Zoom API, Docker, Resend, Shopify, TDD

    Result: about ten projects delivered in ~2 years, including 2 full SaaS built from scratch.
    Typescript Next.js Fullstack Generative AI SAAS
  • Airbus Protect
    Web Developer | Ruby on Rails | TypeScript
    AVIATION AND AEROSPACE
    September 2022 - September 2023 (1 year)
    31700 Blagnac, France
    → Mission Objective:
    Strengthen the development team of a cybersecurity application in production for 15+ years, with a dense roadmap and significant technical debt.

    → Achievements:
    Developed front-end and back-end features inRuby on Railswithin a team of 10+ developers - regular contribution to the product roadmap advancement.

    Worked on a complex legacy codebase (15+ years) - navigated an architecture with high technical debt, identified recurring patterns.

    Active participation in the Agile/Scrum cycle: sprints, team complexity estimations, retrospectives, peer reviews, exchanges with product managers and technical leads.

    → Technical Stack:
    Ruby on Rails, TypeScript, Git
    Fullstack Software Architecture REST API Backend Development Frontend Development

Reviews

5.0

Out of 4 ratings

AlexisA

Alexis

Tech Lead Agentic Dev - I Will Code It

Reviewed on 7/9/2026

I had the opportunity to collaborate with Ophélie on two fullstack projects involving generative AI, design, and integration of complex agent flows. The collaboration was excellent from start to finish: Ophélie quickly took ownership of a complex, ongoing technical context, and proved to be both autonomous and proactive in leading the mission: implementing solutions, documentation, testing, and supporting the end client. On the GenAI/agent side, she played a key role in setting up a system for evaluating AI agent responses, implementing automated tests, and integrating an observable backend (notably via Posthog/OpenTelemetry). Her ability to balance technical requirements, performance, and business constraints generated real confidence within the teams involved and with the client. She worked with the existing teams on creating DeepResearch features, automation, cost optimization, continuous performance measurement, etc. Beyond her technical skills, her clear communication, rigor, and enthusiasm for learning new subjects made the collaboration highly enjoyable and reliable. I recommend her without hesitation for any project requiring serious advanced AI integration and quality fullstack development.
DavidD

David

Développeur AI Agents intégrés & backend - Eregia SAS

Reviewed on 6/8/2026

Ophélie worked on 2 of our projects and quickly got up to speed to understand the expected tasks and contribute to proposing adequate solutions with the client's team, who praised the renewed trust they found in their interactions and communications with her. She was invaluable in setting up a system for evaluating AI agent responses, implementing automated tests, and integrating a secure and observable backend with open-telemetry. Ophélie also showed enthusiasm for learning and upskilling with other teams to broaden her proposals. The assignment will be renewed without hesitation.

Recommendations

Karim Zouli-BarrereKZ
Benjamin DexantBD
Cecile CozetteCC
+1
Karim Zouli-Barrere and 3 other people have recommended Ophélie

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Education

  • MEng, Ingénieur en
    SUPINFO
    2025
    MEng, Ingénieur en
  • Supervised Machine Learning: Regression and Classification
    Supervised Machine Learning: Regression and Classification

Skill set

Categories