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Lucas AllardLA

Lucas Allard

AI Engineer

€600/day
Bayonne, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Lucas

You are a founder, startup CTO, or SME executive and you want to integrate AI into your product without hiring a data team that you can't afford right away?

I am a freelance AI Engineer, I take your project from A to Z (scoping, development, deployment). A single point of contact, concrete results delivered quickly, and a stack that your teams can take over without me.

Why SME and startup clients trust me

In 2 to 4 weeks, I will deliver a functional first PoC, testable with your users. No 6-month roadmaps, no jargon.

I build custom solutions with proven components (AzureOpenAI, LangGraph, MCP) without reinventing the wheel. The goal is for it to work, not to be brilliant in a research paper.

And I build lightweight, lock-in-free solutions. Once the mission is complete, your teams are autonomous. No hidden dependencies.

What I can do for you concretely

A custom AI agent that answers your customers, qualifies leads, or extracts data from your documents. Delivered in 2-3 weeks, with a testing interface. For example, a RAG agent connected to your document base that answers support questions.

An automation pipeline if you spend your weekends manually re-processing invoices or contracts. I will deliver an API and a monitoring dashboard.

Your first AI component in your SaaS or your app. I will provide an inference API integrated into your stack, documented, tested, and monitored.

Or simply an audit: in 2 days, I will tell you if AI can really help you, how much it costs, and where to start. No jargon.

My stack

Python, LangGraph, LangChain, FastAPI, Docker, PostgreSQL, Azure, Weaviate, MLflow.

My background in a nutshell: ENSAE Paris, 5 years of production experience at Besignal, Cdiscount, QuantsUnited, and TotalEnergies. Today, I put this expertise to work for agile organizations.
  • French

    Native or bilingual

  • English

    Fluent

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

Experience

  • Besignal
    AI Engineer
    SOFTWARE PUBLISHING
    September 2025 - Today (11 months)
    Paris, France
    • Design and development of a complete AI agentic architecture in production.
    • Specializing in tool calling, LLMOps, and integration of Large Language Models into client business systems.
    • Building MCP (Model Context Protocol) servers to connect LLMs to APIs, databases, and internal tools.
    • Implementing a multi-source Python RAG pipeline with embeddings (Weaviate).
    • Multi-agent orchestration for complex workflow automation: extraction, synthesis, validation.
    • Fine-tuning models for specific business use cases.
    • Containerized deployment with monitoring, caching, and inference cost management.
    LLM RAG LangGraph AI Agent MCP
  • Cdiscount
    Machine Learning Engineer
    E-COMMERCE
    August 2023 - August 2025 (1 year and 11 months)
    Bordeaux, France
    **Context**: Production deployment of ML models to optimize advertising performance.



    **Missions**:
    • Production deployment and industrialization of machine learning models on the group's e-commerce platforms
    • Building complete MLOps pipelines: experience tracking (MLflow), automated ML CI/CD (GitLab CI), containerized deployment (Docker/Kubernetes), performance monitoring with Prometheus and Grafana
    • Optimization of inference costs and API latencies. Collaboration with data scientists to industrialize recommendation and pricing models
    • Management of model drift in production (data drift, concept drift) with automated alerting
    Stack: Python, MLflow, Docker, Kubernetes, Git, FastAPI, Prometheus, PostgreSQL, Luigi
    Machine learning Snowflake Orchestration Deep Learning LLM
  • QuantsUnited
    Machine Learning Engineer
    BANKING AND INSURANCE
    November 2021 - July 2023 (1 year and 8 months)
    Bidart, France
    • Development of natural language processing solutions for the analysis of financial and legal documents
    • Design of a long document summarization NLP pipeline with quality control
    • Fine-tuning of transformer models (BERT, RoBERTa, LLMs) via PyTorch and Hugging Face for classification, extraction, and topic modeling
    • Implementation of annotation, training, and evaluation pipelines. Industrialization of models via REST APIs deployed on cloud infrastructure
    • Implementation of a Python RAG architecture for semantic search in document databases

    Stack: Python, PyTorch, Hugging Face Transformers, FastAPI, Docker, LLM
    Python PostgreSQL Docker Machine learning LLM

Recommendations

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Former user and 1 other person have recommended Lucas

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Education

  • Master's degree, Data science
    ENSAE Paris
    2021
    Mastère spécialisé, Data science
  • Master's degree, Applied Mathematics
    Université Paris Dauphine
    2019
    Master, Mathématiques appliquées

Skill set

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