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Felipe EspinosaFE

Felipe Espinosa

Python Developer | Generative AI, Automation, RAG

€350/day
Paris, FR
3-7 years

Average response time: 1 hour

About Felipe

Je développe des outils Python concrets pour automatiser des tâches, interroger des données et prototyper des solutions d’IA générative utiles à vos équipes.

J’interviens principalement sur 3 types de missions :

• automatisation Python et scripts métiers
• assistants IA / RAG sur documents internes
• outils data / SQL pour exploiter et interroger vos données

Exemples de prestations :
- scripts Python pour automatiser des tâches répétitives
- assistants documentaires basés sur des LLM / RAG
- prototypes rapides avec Streamlit ou FastAPI
- outils de requête SQL en langage naturel
- workflows simples d’analyse, extraction ou traitement de données

Compétences principales : Python, IA générative, LLM, RAG, SQL, automatisation, FastAPI, API, LangChain, Streamlit.

Mon approche est pragmatique : comprendre le besoin, cadrer une solution simple, puis livrer un résultat propre, testable et adapté à votre contexte.

Je recherche surtout des missions en développement Python, automatisation, IA appliquée, prototypage rapide et outils internes data.

--- English ---

I develop practical Python tools to automate tasks, query data, and prototype generative AI solutions that are useful for your teams.

I mainly work on 3 types of projects:

• Python automation and business scripts
• AI / RAG assistants for internal documents
• data / SQL tools to explore and query your data

Examples of services:

- Python scripts to automate repetitive tasks
- document assistants based on LLM / RAG
- rapid prototypes with Streamlit or FastAPI
- natural language to SQL tools
- simple workflows for data analysis, extraction, or processing

Main skills: Python, Generative AI, LLMs, RAG, SQL, automation, FastAPI, APIs, LangChain, Streamlit.

I am mainly looking for projects related to Python development, automation, applied AI, rapid prototyping, and internal data tools.
  • Spanish

    Native or bilingual

  • English

    Fluent

  • French

    Conversational

  • Portuguese

    Fluent

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

Experience

  • Capital Fund Management (CFM)
    AI Engineer — LLM Agents & RAG
    PRIVATE EQUITY
    March 2025 - September 2025 (6 months)
    Paris, France
    • • Built an enterprise data analysis agent that achieved 87.5% end-to-end QA accuracy on an internal benchmark.
    • • Improved RAG retrieval to 95% top-k accuracy in internal evaluation by combining BM25 and dense embeddings with
    Reciprocal Rank Fusion.
    • • Reduced average SQL drafting time to 51.2 seconds by implementing a self-correcting loop for query generation and validation.
    • • Designed multi-step agent workflows for data analysis, combining SQL generation, code execution, visualization, and LLM-based reasoning.
    • • Used LangGraph for workflow orchestration and LangSmith traces with user feedback to analyze failures and iteratively improve system behavior.
    SQL Langchain API Development Python LLM
  • Laboratoire Interdisciplinaire des Sciences du Numérique (LISN)
    AI Scientist — Speech Synthesis
    RESEARCH
    February 2024 - August 2024 (6 months)
    91400 Orsay, France
    • • Developed the first Text-to-Speech system for Walloon using a VITS-based architecture in a low-resource setting.
    • • Ran experiments across grapheme, phoneme, and fine-tuned French-pretrained configurations, with perceptual and
    objective evaluation.
    • • Achieved a MOS of 4.22/5 for one of the best configurations in human evaluation with native speakers.
    • • Published the work as first author at SSW 2025 and released models and demos publicly on Hugging Face.
    Fine-tuning LLMs intelligence artificielle Text to speech Python

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Education

  • Master of Science in
    Université Paris-Saclay
    2025
    Master of Science in
  • Bachelor of Science (B.Sc.)
    Universidad Industrial de Santander
    2016
    Bachelor of Science (B.Sc.)

Skill set

Categories