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Rayan HamadehRH

Rayan Hamadeh

Al & Automation Engineer

150 €/jour
Paris, FR
0-2 ans

Délai de réponse moyen : 1h

À propos de Rayan

Hi, I’m Rayan! I am a Data and AI Engineer passionate about transforming experimental AI models into robust, high-speed production systems. Whether it is orchestrating complex multi-agent architectures or streamlining daily operations with smart automations, my goal is to build solutions that are efficient, transparent, and built for scale.
I focus on cutting through technical noise to deliver real business value, reducing manual processes, and optimizing system latency for seamless user experiences.

What I Offer
•Generative AI & LLM Orchestration: Designing scalable AI pipelines and multi-agent systems using OpenAI, LangChain, and LangGraph. I specialize in inference optimization, token streaming, and rigorous model evaluation to prevent hallucinations.
•Workflow Automation & Integrations: Architecting reliable API integrations and automated workflows (utilizing Python, FastAPI, and tools like n8n) to eliminate technical bottlenecks and accelerate operations.
•Data Engineering & Architecture: Structuring and processing massive datasets using PostgreSQL, Pandas, and NumPy to extract actionable insights and ensure downstream data quality.
•Agile Execution: Applying a structured, MECE problem-solving approach and Agile/Scrum methodologies to deliver transparent, maintainable code collaboratively.

My Tech Stack
•Languages: Python, SQL
•AI & ML: OpenAI API, LangChain, LangGraph, PyTorch, LangSmith, ElevenLabs
•Backend & Data: PostgreSQL, FastAPI, Pandas, NumPy
  • Anglais

    Bilingue ou natif

  • Français

    Capacité professionnelle complète

  • Arabe

    Bilingue ou natif

Accepte de travailler sur site
Paris (jusqu’à 50 km)

Expériences

  • Silicon Cedars
    Al Engineer Intern
    DIGITAL AND IT
    avril 2025 - août 2025 (4 mois)
    Paris, France
    • Integrated next-generation NLP/LLM models using Python and LangChain, transforming experimental prototypes into robust production code.
    • Structured daily pipelines on massive datasets using PostgreSQL to extract business insights and actionable recommendations.
    • Evaluated and benchmarked model performance using LangSmith to ensure optimal precision, Al governance, and token optimization.
    • Engineered scalable Al solutions by integrating OpenAI API with Python across three product lines over a 12-week internship, optimizing inference latency by 30% while maintaining secure deployment protocols.
    LLM API AI Agent Python RAG
  • Norna
    Data Quality Analyst & Scrum Master
    DIGITAL AND IT
    janvier 2022 - janvier 2024 (2 ans)
    Stockholm, Sweden
    • Architected a high-speed Machine Learning anomaly detection system, reducing manual quality control processes by 40%.
    • Guided an Agile team of 6 developers, fostering a collaborative environment and technical acculturation.
    • Structured complex data at scale using Pandas and NumPy to optimize downstream predictive models and feature engineering.
    Machine learning Deep Learning Scrum Agile method Python

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Formations

  • MEng Data and Al
    École Supérieure d'Ingénieurs Léonard de Vinci
    2026
    MEng Data and Al
  • Graduate Diploma in Al
    American University of Beirut
    2024
    Graduate Diploma in Al

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