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Achievement: YOLO

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Pipe1213/README.md

Felipe Espinosa Orjuela

AI/ML Engineer in Paris · LLM agents, generative models and evaluation · M.Sc. AI, Université Paris-Saclay

Selected work

  • Text-to-SQL agent – Capital Fund Management (2025). LangGraph agent with 7 tools that answers analysts' questions over an internal Oracle database: 87.5% accuracy on a 48-question benchmark I built, about 20× cheaper per query than o3 at similar accuracy. Code is internal; internship report (PDF).
  • First text-to-speech system for Walloon – LISN, CNRS (2024). VITS trained on 18 and 156 minutes of speech; fine-tuned from French, 4.10/5 MOS with 23 listeners (natural speech: 4.48–4.55). First-author paper, SSW 2025. Listen · Code · Paper · Demo
  • AskData (in progress). Ask a PostgreSQL database questions in plain English: schema retrieval, planner-guided SQL, read-only validation. FastAPI, Next.js. Repo
  • Synthetic French NER dataset for clinical trials (2024, team of 3). Translated English annotations, fine-tuned XLM-RoBERTa, released a 12,423-row dataset. Repo

Now: research collaborator at Universidad Tecnológica de Bolívar, lead author of a paper on cross-lingual embeddings (under review).

Stack: Python · PyTorch · Hugging Face Transformers · LangGraph · FastAPI · PostgreSQL · Docker · Git · Linux

Website · LinkedIn · Google Scholar · Hugging Face · felipeespinosa.13@outlook.com

Pinned Loading

  1. AskData AskData Public

    Ask a PostgreSQL database questions in plain English: schema retrieval, planner-guided SQL generation and read-only validation. FastAPI + Next.js. In progress.

    Python

  2. lisn-speech-synthesis/Walloon-Synthesis-VITS lisn-speech-synthesis/Walloon-Synthesis-VITS Public

    Python 1

  3. jlopetegui98/Creation-of-a-synthetic-dataset-for-French-NER-in-clinical-trial-texts jlopetegui98/Creation-of-a-synthetic-dataset-for-French-NER-in-clinical-trial-texts Public

    Final project of Hands-On NLP course at Université Paris-Saclay M1-AI

    Jupyter Notebook