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Hugo SequierHS

Hugo Sequier

AI & Data Science Consultant

€600/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Hugo

I am an AI & Data Science consultant, specializing in the creation of concrete AI systems: AI agents, computer vision, workflow automation, data analysis, and business tool integration.

I help companies move from an idea or operational problem to a usable solution: prototype, data pipeline, machine learning model, agent connected to your tools, API, or automation of an existing process.

My approach is pragmatic: understand the business need, identify what is truly worth automating, quickly build a first version, and then progressively make it reliable. I favor simple, maintainable systems that are integrated into the daily work of teams, rather than AI demonstrations that remain at the prototype stage.

I can work on topics such as:

- AI agents to automate internal tasks
- RAG / intelligent search in documents
- Computer vision and image processing
- OCR and document automation
- Data pipelines and business analysis
- Python / FastAPI APIs
- Rapid AI prototypes and then light industrialization
- Audit of AI opportunities in your workflows

I work particularly well with teams that have a clear problem, existing data or documents, and want to transform them into concrete tools.

If you have a repetitive workflow, a heavy document process, or an AI tool idea to validate, I can help you frame, prototype, and build the right first version.
  • French

    Native or bilingual

  • English

    Fluent

Remote only
Primarily works remotely

Experience

  • BTP Consultants
    Data Scientist & Computer Vision Expert
    ARCHITECTURE AND URBAN PLANNING
    September 2023 - Today (2 years and 11 months)
    Paris, France
    At BTP Consultants, I design and develop AI solutions applied to the technical control and construction industries.

    I transform complex processes, plan verification, document analysis, site reporting, into concrete tools for operational teams. My work combines computer vision, document processing, language models, workflow automation, and backend development.

    I work on pipelines for automatic verification of PDF plans, with extraction and analysis of elements such as rooms, walls, doors, furniture, areas, and polygons. These systems help technical controllers analyze large documents faster and reduce repetitive manual tasks.

    I also work on site video analysis tools, capable of extracting important moments and generating structured draft reports from filmed site visits.

    I handle projects end-to-end: dataset creation, annotation, model experimentation, inference pipelines, Python/FastAPI APIs, business post-processing, frontend integration, cloud deployment, and continuous performance improvement.

    Results: up to 80% time saved on certain verification workflows, +50% productivity on repetitive tasks, 300+ hours of site videos analyzed, and approximately 3 hours saved per project on report writing.
    Python Computer Vision Data Science AI Agent
  • Brickroad / Irys
    Fullstack & Backend Data Developer
    TECH
    May 2025 - October 2025 (5 months)
    For Brickroad, I am working on the development of a dataset marketplace that allows data owners to upload, segment, store, and monetize their datasets to AI companies.

    The project is built as a dApp: users can upload a dataset, store it on Irys, view the data, and then sell usable portions to buyers. The goal is to create a simple workflow for transforming raw datasets into monetizable assets.

    I am mainly involved in the backend, as part of a small team of 2 developers. I build the dataset segmentation services, the integration of decentralized storage on Irys, the visualization APIs, as well as the payment flows with Stripe and MoonPay. I also contribute to frontend integration to connect features to the product.

    The project combines fullstack development, backend data, decentralized storage, payments, wallet management, and product logic around data monetization.

    Results: MVP delivered in 3 months, complete backend for uploading, segmenting, storing, and selling datasets, DuckDB integration for purchasing data portions, and 100+ dataset uploads.
    Data Visualisation Data Science DuckDB AWS Python
  • BasisX
    Fullstack & DeFi Developer
    BANKING AND INSURANCE
    November 2025 - December 2025 (1 month)
    Seoul, South Korea
    For BasisX, I am solo-developing a DeFi product on Hyperliquid testnet that makes yield exposures tradable in the form of HIP-3 markets.

    The goal is to create instruments linked to yield strategies: funding rates, bond narratives, macro exposures, or yield strategies. The product allows these exposures to be transformed into usable testnet tokens and markets for early users.

    I handle the project end-to-end: HIP-3 market configuration, collateral and fee parameters, price action logic design, backtests, oracle deployment, token deployment, trading frontend creation, Hyperliquid SDK integration, and backend layer development to track volumes, trades, and community usage.

    This experience combines fullstack development, product architecture, DeFi logic, blockchain integration, market data, and rapid prototyping.
    Python Next.js Hyperliquid

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Education

  • Engineer - Data & Artificial Intelligence
    ESILV
    2025
    Formation d’ingénieur spécialisée en Data Science, Intelligence Artificielle et développement logiciel. Ce cursus me permet de construire une base solide en mathématiques appliquées, machine learning, data analysis, programmation, architecture logicielle et systèmes IA. J’y développe une approche à la fois technique et projet : comprendre un problème, modéliser une solution, expérimenter, développer, puis livrer un système utilisable. Compétences développées : - Machine learning et deep learning - Data science et analyse de données - Computer vision - Traitement du langage naturel et IA générative - Développement logiciel et APIs - Python, SQL, JavaScript / TypeScript - Gestion de projet technique - Expérimentation, prototypage et industrialisation légère Cette formation complète mon expérience terrain en entreprise et en freelance, avec une spécialisation claire sur la création de systèmes IA concrets : agents IA, automatisation de workflows, computer vision, RAG et outils data intégrés aux besoins métier.
  • University Diploma of Technology (DUT), Computer Engineering
    IUT de Montpellier-Sète
    2022
    Diplôme universitaire de technologie (DUT), Ingénierie informatique

Skill set

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