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Said HachimSH

Said Hachim

Data Engineer / AI Engineer

€150/day
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Said

Dear Sir, Madam,

With a strong background in data engineering and artificial intelligence, my goal is to provide companies with robust and intelligent infrastructures and solutions to support their growth. I am convinced that data is a strategic asset, provided that the necessary pipelines and architectures are in place to collect, transform, and fully exploit it. My role is to build these foundations.

As a data engineer, I have acquired expertise in designing and optimizing data pipelines, integrating multiple sources, and implementing reliable architectures (ETL/ELT, data warehouses, data lakes). I structure and automate data flows to ensure their quality and availability, so that teams have solid bases for their analyses and decisions. My approach is based on rigor and performance, as a well-designed infrastructure is the cornerstone of any successful AI exploitation.

Furthermore, my role as an AI engineer has allowed me to design, train, and deploy machine learning models in production, from prototyping to industrialization, by integrating best MLOps practices to ensure reliable and scalable systems.

Beyond the technical aspects, I emphasize collaboration and adaptability. Each company has its priorities, and I adapt my work accordingly. What matters is the quality of the work delivered. Regarding pricing, I favor a transparent and fair approach, focused on the added value provided.

Passionate about my profession, I would be delighted to discuss your needs. Do not hesitate to contact me.

Sincerely,
  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Mon beau marché
    AI Engineer
    E-COMMERCE
    January 2026 - April 2026 (3 months)
    Paris, France
    • Design and development of multi-agent architectures based on LLMs to automate business tasks (order management, customer support, delivery tracking) within a food delivery company.
    • Development of solutions for extracting and structuring unstructured data (PDF invoices, purchase orders, product sheets, Sheets files) to automate data entry and management from suppliers and delivery partners.
    • Deployment of AI applications on Google Cloud Platform (Vertex AI / Cloud Run), ensuring scalability, security, and availability of services in production.
    • Design of tools for evaluating, monitoring, and continuously improving AI models (performance tracking, drift detection, quality testing) to ensure the reliability of agents in a critical operational context (delivery times, traceability, customer satisfaction).
    Multi-agent Architectures & LLM Google Cloud Platform (GCP) Python MLOps & Monitoring Extraction and structuring of unstructured data (OCR, PDF/Sheets parsing, NLP)
  • Université Gustave Eiffel · Laboratoire IFSTTAR
    Data Engineer
    TRANSPORTATION
    November 2024 - November 2025 (1 year)
    Paris, France
    Champs-sur-Marne · Sector: Transport & Mobility

    • Extraction and validation of CSV/JSON files from Google Cloud Storage to feed traffic sensor analyses.
    • Development of Python scripts for organizing and normalizing sensor data.
    • Implementation of complete ETL pipelines: loading and transforming data into BigQuery, with partitioning and clustering to optimize performance.
    • Analysis of large data volumes with BigQuery SQL to produce mobility indicators.
    • Automation of workflows via Cloud Composer (Airflow) DAGs.
    • Visualization and reporting with Looker Studio connected to BigQuery.
    Python SQL Extract, Transform, Load (ETL) GCP Airflow
  • TotalEnergies TOTSA
    Data Engineer
    ENERGY AND UTILITIES
    May 2024 - August 2024 (3 months)
    Paris, France
    • Connection and ingestion of multi-source data (APIs, databases, cloud) in a distributed environment.
    • Construction of ETL pipelines with Spark / Databricks: data cleaning, transformation, and quality control.
    • Centralization in a Data Warehouse with the implementation of data quality and governance rules.
    • Automation of processes with Airflow and CI/CD integration (automated tests and zero-downtime deployments).
    • Agile team collaboration with Git: code review, documentation, and version management.
    DBT Git Databricks Google Cloud Spark

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Education

  • BACHELOR'S DEGREE IN MATHEMATICS AND COMPUTER SCIENCE
    UNIVERSITÉ PARIS-EST CRÉREIL
    2022
  • MASTER'S DEGREE IN MATHEMATICS, APPLIED STATISTICS, DATA SCIENCE, ARTIFICIAL INTELLIGENCE
    UNIVERSITÉ DE PARIS
    2023

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