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David Z.DZ

David Z.

AI Engineer | Agent Integration, Automation

€850/day
7 projects
Paris, FR
8-15 years

Average response time: 1 hour

Freelancer profile translated to English.
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About David

AI Integration Expert — I automate your dev and product workflows with LLMs
Centralien Engineer, I do one very specific thing: I integrate AI into the heart of your technical processes — and I deliver systems that run in production, not POCs.

My favorite field? Transforming a classic dev team into an LLM-augmented machine. For example, I deployed a complete Claude Code setup with a fully automated CI/CD pipeline for a client: code generation, automatic reviews, testing, deployment. Result: their velocity multiplied by 2 without hiring.

What I concretely do:

→ Automate the development cycle (Claude Code, Cursor, LLM pipelines)
Audit your stack → setup → integration into your existing workflows → team training. Turnkey.

→ Custom RAG & AI Agent Architecture
I designed large-scale RAG systems at LexisNexis (AI legal assistant) with semantic search, reranking, and hallucination reduction. I know how to take an LLM from demo to production.

→ Integrate LLM into your existing products
APIs, chatbots, business copilots, workflow automation — I integrate Claude, GPT-4, and open-source LLMs into your Python or Node.js codebases without rebuilding everything.

Why me over someone else?
I'm not a consultant who sells slides. I was a Senior Backend Engineer at Voodoo (systems with 100K+ DAU) and Senior Data Engineer at LexisNexis on a real AI product. I code, I deploy, I train. And I speak the language of your devs AND your business challenges.
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Voodoo
    Senior Backend Engineer — High-Performance Backend & Integrated AI
    VIDEO GAMES AND ANIMATION
    July 2025 - Today (11 months)
    Paris, France
    Senior Backend Engineer at Voodoo, a global mobile gaming company with very high traffic applications (100K+ DAU).

    Main mission: design and deliver critical backend features at a sustained pace in a high-load environment.

    Key achievements:
    - Development of scalable backend services in Node.js, 1 feature delivered per week
    - Integration of AI components (content generation, personalization) into gaming products
    - Optimization of response times and stability of APIs under high concurrency
    - Improvement of the internal analytics dashboard in Vue.js
    - Incident resolution on critical production systems
    API Node.js Performance Management Vue.js DevOps
  • LexisNexis
    Senior Data Engineer — RAG Architecture & AI Legal Assistant
    LEGAL
    July 2024 - July 2025 (1 year)
    Paris, France
    At the heart of a reference AI product: a conversational assistant for lawyers, comparable to a ChatGPT applied to French law.

    End-to-end responsibility for the RAG (Retrieval-Augmented Generation) architecture: from design to production.

    Key achievements:
    - RAG architecture in Python on massive legal corpora (case law, contracts, doctrine)
    - LLM + Apache SOLR search engine integration: indexing, chunking, embeddings, scoring, reranking
    - Development of the 4 product use cases: legal Q&A, automatic summarization, memo drafting, document Q&A
    - Continuous quality improvement: hallucination reduction, precision/recall
    - Robust data pipelines + CI/CD for a large legal corpus
    RAG Data Science Python LLM FastAPI
  • BNP Paribas Asset Management
    Software Engineer & DevOps — AI Investment Decision Tools
    BANKING AND INSURANCE
    July 2023 - July 2024 (1 year)
    Nanterre, France
    Critical mission on investment decision support tools for one of the world's largest asset management companies.

    Key achievements:
    - Python backend development of analysis and decision tools for fund managers
    - Integration of AI features for automatic financial data analysis
    - Redesign of React interfaces for analysts (data-driven UX)
    - Setup of DevOps infrastructure: Docker, Terraform, CI/CD
    - Cross-functional collaboration with quant, data science, and trading teams
    Python Developer Docker DevOps React.js Artificial Intelligence

Reviews

5.0

Out of 6 ratings

B

Benjamin

Intégration de l’IA dans les rapports financiers mensuel - Feeli

Reviewed on 5/27/2026

Using bank statements, P&L, and bank reconciliations, David successfully integrated a custom AI agent that calculated my real-time cash flow. Furthermore, this model can be easily updated.
S

Simon

CEO, Expert Metier - Kwhiz

Reviewed on 5/15/2026

I entrusted him with a rather complex, niche task, with specificities related to my highly technical business. He listened to me for hours, asked me the right questions. David works very fast, he understands instantly, and the delivery meets my expectations.

Recommendations

Antoine ChevalierAC
BZ
Antoine Chevalier and 1 other person have recommended David

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Education

  • Centralien Engineer
    Ecole Centrale
    2018
  • Mathematics-Computer Science Bachelor's Degree
    Université Paris-Dauphine
    2015

Certifications

  • AWS - Backend
    AWS
    2021
    AWS S3 AWS SNS AWS EC2 AWS AWS SQS Amazon RDS

Skill set

Categories