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Pierre H.PH

Pierre H.

📊Fullstack Developer AI ✦ Agent ✦ LLM ✦ RAG 🤖

€650/day
3 projects
Paris, FR
3-7 years

Average response time: 1 hour

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About Pierre

🙋‍♂️ Hello!

I am Pierre, a graduate of Télécom Paris in 2021. I have a strong interest in new technologies and data valorization. My education naturally immersed me in data analysis using statistical and AI models. I complemented my training with a fullstack development dimension, APIs, frontend, and web.

Generative AI

Recent advances in generative AI have led me to useLarge Language Models(LLM), particularly for implementing Retrieval-Augmented Generation (RAG).

Most of the companies I have worked with deal withsensitive datathat they cannot expose to LLMs without strictconfidentialityguarantees. I have therefore naturally specialized in integrating LLMs into environments that ensure thesecurityandcontrolof company data.

I design applications with you that leverage generative AI:

*Secure AI
  • Chatbots on confidential data
  • Database enrichment
  • Content generation
  • Content improvement
  • Automation of sending / creation / generation of emails

Data Analysis

Development of:

*Predictivemodels (Machine Learning, Deep Learning)
  • Data clustering (Unsupervised learning)
*Error detectionmodels
  • Performance calculations, KPIs

Data visualization

Design ofdashboards(PowerBI / javascript, SQL) on your data allowing:
  • Trend analysis
  • KPI representation
*Data-drivendecision making

Mastered Tools

AI, data analysis
  • Langchain
  • Python, Pandas
  • scikit-learn
  • PowerBI
Backend:
  • AWS Services (Amplify, Lambda, Cognito, DynamoDB, API Gateway, etc.)
  • Azure Service
  • Zapier / Make / n8n
  • PostgreSQL
  • Firebase
  • Supabase
Frontend, design:
  • Streamlit
  • Javascript, Typescript
  • React / Node.js
  • Adobe Illustrator
  • French

    Native or bilingual

  • English

    Fluent

  • Spanish

    Conversational

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

Experience

  • ChatLegalIA
    Creation of AI agents for legal writing assistance
    LEGAL
    March 2025 - May 2025 (2 months)
    Paris, France
    As part of this project, I designed AI agents capable of automatically identifying the most relevant legal sources for a given domain, then integrating these references coherently into generated legal documents.

    The architecture relies on a Flask API coupled with an ElasticSearch search engine, utilizing a hybrid search strategy combining keywords and vector embeddings. This approach maximized the accuracy of results, even in complex and specific legal contexts.

    I also conducted a benchmark of several LLMs to identify the one offering the best compromise between textual coherence, relevance of cited sources, and performance on real-world use cases.
    Generative AI AI Agent LLM Elasticsearch flask Python Vector Embeddings RAG
  • Elevio Group
    AI Solutions Developer
    PHARMACEUTICALS INDUSTRY
    March 2025 - Today (1 year and 3 months)
    Paris, France
    Designing and implementing AI-powered solutions. Leveraging LLMs to support Elevio Group strategies.
    Contributing to data-driven innovation in life sciences through close collaboration with internal team.
    AI Engineering LLM Databricks Prompt Engineer Python Knowledge Management
  • Entreprise de dĂ©veloppement personnel
    A RAG chatbot for a digital player
    HEALTH AND WELLNESS
    September 2024 - February 2025 (5 months)
    Paris, France
    I am developing atrained chatboton my client's data so that it can converse with their users with the necessary knowledge. This structure is based on theRAG(Retrieval-Augmented Generation) technique, a very promising advancement in generative AI, the most effective for this objective in 2024.
    I am creating a clear user interface on top of this with conversation starter suggestions.
    I am using AWS lambda, OpenSearch, AWS Amplify, and PostgreSQL databases for the deployment of the backend and frontend.
    Fullstack Chatbot AI Chatbot OpenAI Amazon Web Services JavaScript RAG

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Education

  • Engineering Degree
    Télécom Paris
    2021
    Formation générale ingénieur Télécom Paris. Numérique, Développement. Spécialisations : - Sciences des données, Machine Learning, IA - Traitement de signal, séries temporelles, - Stratégie, innovation, marchés
  • M2 IREN
    Paris Dauphine
    2021
    Industries de réseau et économie numérique Capacités travaillées : - maîtrise des principes de fonctionnement des industries de réseau et de l’économie numérique. - analyse et méthodologies permettant de suivre des phénomènes en forte évolution, soit dans l’univers de la recherche et de l’enseignement supérieur, soit à des postes opérationnels dans les entreprises, les administrations, les regroupements de consommateurs ou d’utilisateurs, les institutions de la régulation.

Skill set

Categories