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Oussama C.OC

Oussama C.

AI Engineer | LLM Engineer | RAG | GenAI Agentic

€350/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Oussama

Centralien engineer specialized in Artificial Intelligence, I design tools based on generative AI, RAG, and AI agents to automate tasks, accelerate processes, and save teams time.

I use AI daily in my own work, whether for more efficient development, information analysis, workflow structuring, or rapid prototyping of new solutions. This practice allows me to better understand real-world use cases, model limitations, and the necessary conditions for creating truly useful enterprise tools.

I work on the design of intelligent assistants, agents connected to business tools, search and matching engines, as well as the automation of complex processes. My goal is to transform a concrete need into a simple, reliable, and directly usable AI solution.
  • French

    Native or bilingual

  • English

    Native or bilingual

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

Experience

  • TNP Consultants
    Data & AI Consultant
    CONSULTING AND AUDITS
    June 2025 - December 2025 (6 months)
    Paris, France
    Python | RAG | Mistral AI | Data Quality | Data Governance

    ➤ Design of a RAG chatbot for prevention and occupational health: ingestion of PDF/Word documents, chunking, embeddings, vector search, and prompt engineering.
    ➤ Implementation of a system for monitoring the quality of financial and purchasing data for SUEZ.
    ➤ Automate data profiling, detect anomalies, and generate quality reports.
    ➤ Design of Power BI dashboards and DAX measures to track KPIs.
    Python RAG AI Chatbot artificial intelligence AI Agent
  • IADF Finance
    Data & M&A Analyst
    DIGITAL AND IT
    March 2024 - August 2024 (5 months)
    Rennes, France
    Dataiku DSS | NLP | Machine Learning | M&A Analytics | MongoDB | Python

    ➤ Design of Dataiku DSS workflows to clean, enrich, and qualify a database of companies.
    ➤ Creation of flows, recipes, and automation scenarios to industrialize processing.
    ➤ Development of scoring, clustering, and sector classification models (NLP embeddings).
    ➤ Development of regression models to estimate companies' financial indicators.
    ➤ Storage and exploitation of data in MongoDB for company analysis and targeting.
    ➤ Reduction of the M&A opportunity qualification cycle from several months to about one month.
    Dataiku MongoDB NLP LLM automation
  • BATIDEFI
    AI Automation Engineer
    TECH
    September 2023 - February 2024 (5 months)
    Rennes, France
    Web Scraping | Zapier | n8n | FastAPI | ETL | MongoDB | AWS EC2 | Amazon S3

    ➤ Development of a web scraping infrastructure to collect large volumes of company data.
    ➤ Implementation of Selenium, BeautifulSoup, Scrapy scripts with pagination, rotating proxies, and retries.
    ➤ Deployment of collection processes on AWS EC2, with storage on S3.
    ➤ Implementation of monitoring systems: tracking collected volumes, errors, and performance.
    Python API web-scraping AI Automation Cloud computing

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Education

  • Master of Engineering
    Ecole Centrale Casablanca (Groupe CentraleSupélec)
    2025
    Intelligence Artificielle & Science de données
  • CPGE
    Ecoles MPSI/MP*
    2021
    Classes Préparatoires aux Grandes Ecoles

Certifications

  • Digital Transformation
    BCG
    2025
  • Data-Driven Decision Making
    PwC
    2025

Skill set

Categories