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Mario0Neta/README.md

Lead GenAI | Data Scientist | AI Engineer


I am an experienced professional in generative AI operations, data science, and artificial intelligence engineering. Skilled in designing, developing, and deploying advanced AI solutions, including LLM-based chatbots and autonomous agents. My experience in the marketing and the finance industry have given a wide experience. I understand how to effectively implement and integrate AI and data solutions, ensuring business success by adapting markets´ needs into technical solutions.


Professional Experience

Generative AI Lead

PAX (Paris, France) | Current

  • Led the end-to-end development of an AI agent, from initial conception through to production deployment.
  • Implemented tool evaluation using the "LLM as a Judge" methodology.
  • Deployed the model on Google Cloud Run, ensuring security via IP address filtering configured at the Load Balancer level.
  • Managed integration of the AI tool with the company's CRM system.

AI Operations & Data Scientist

Dentsu (Madrid, Spain)

  • Designed and deployed an LLM RAG chatbot using LangChain on Google Cloud Platform (GCP), evolving from proof-of-concept to production-ready solution.
  • Achieved over 80% code test coverage in Python, adhering to clean code principles and modular architecture; utilized relational, non-relational, and vector databases.
  • Developed and optimized ETL pipelines in RStudio, orchestrated with Airflow; enriched marketing mix models with exogenous data from APIs, demonstrating expertise in Python, Pandas, and data quality control.
  • Applied advanced machine learning models, including Marketing Mix Modeling and multilinear regression in R; collaborated with stakeholders on data collection, cleaning, and analysis.
  • Contributed to innovative LLMO products using LangGraph and presented NLP models derived from thesis research.
  • Authored detailed technical documentation for the chatbot and analytical models, hosted on Azure Wiki and illustrated with Excalidraw diagrams.

VIP Bar Supervisor

Liverpool Football Club

  • Oversaw team coordination, customer service excellence, and operational efficiency during match days.

Education

Master's in Artificial Intelligence Engineering

Université Paris 8

Bachelor's in Mathematics

Universidad Complutense de Madrid

Erasmus Exchange: Mathematics and Computer Science

University of Liverpool


Skills

  • Generative AI & LLMs (LangChain, LangGraph, RAG)
  • Machine Learning (Marketing Mix Modeling, Regression, NLP)
  • Programming: Python, R, Pandas
  • Cloud Platforms: Google Cloud Platform (GCP), Google Cloud Run, Airflow
  • Data Engineering: ETL Pipelines, Databases (Relational, NoSQL, Vector)
  • Tools: RStudio, Excalidraw, Azure Wiki
  • Evaluation Methods: LLM as a Judge

Popular repositories Loading

  1. C-digo-TFG C-digo-TFG Public

    En este repostitorio público están las ficheros necesarios para entrenar la red neuronal presentada en mi TFG.

    Jupyter Notebook 1

  2. HousePrices HousePrices Public

    Code and data used for kaggle competition. https://www.kaggle.com/code/gusthema/house-prices-prediction-using-tfdf/notebook#House-Prices-Prediction-using-TensorFlow-Decision-Forests

  3. DisasterTuits DisasterTuits Public

    Kaggle project

  4. DeepLearning.AI-Natural-Language-Processing-Specialization DeepLearning.AI-Natural-Language-Processing-Specialization Public

    Forked from FahdSeddik/DeepLearning.AI-Natural-Language-Processing-Specialization

    This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

    Jupyter Notebook

  5. NLP-sesion NLP-sesion Public

    Jupyter Notebook

  6. EconomicsMoneyBanking EconomicsMoneyBanking Public

    Notes and reading from the course: https://www.coursera.org/learn/money-banking