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xfold/README.md

Hola! 👋

I am a passionate Data Scientist and a Visiting Research Associate living in London with expertise in AI, dedicated to applying ML to tackle real‑world challenges. My passion lies in developing machine learning systems and recommender systems that are both fair and safe, as I strive to address negative biases and discriminatory tendencies in large language models. With over 9 years of experience in the field of Artificial Intelligence, NLP and Machine Learning, I possess a strong proficiency in Python.

Please take a look at my repositories and specially to the AI jungle, A wild and exciting collection of other projects (mostly) in Python related to AI and ML.

Pinned

  1. LanguageBiasesInReddit LanguageBiasesInReddit Public

    Repository for the paper "Discovering and Categorising Language Biases in Reddit" accepted at the International Conference on Web and Social Media (ICWSM 2021).

    Jupyter Notebook 12 4

  2. NormativeApproachToDiscrimination NormativeApproachToDiscrimination Public

    This repository contains the source code of the original paper 'Attesting Digital Discrimination Using Norms' accepted at the International Journal of Interactive Multimedia and Artificial Intellig…

    Python 5

  3. bert-finetune bert-finetune Public

    https://github.com/xfold/the-ai-jungle/tree/gh-pages/bert_finetune/

  4. cnn-classification-and-embeddings cnn-classification-and-embeddings Public

    This project is a personal exploration into CNN and classification tasks. I checked various techniques to create a classifier to differentiate Mario, Luigi, and Toad images. For this, a CNN was use…

  5. cv-langchain cv-langchain Public

    The CVGPT project provides a way to interact with a GPT model using a given PDF document. In this example, I use it to query my own CV in a chat-like environment, as if I were talking to an expert …

  6. statistical-distributions statistical-distributions Public

    This small project tries to dig in generating and identifying different statistical distributions using python. Here we have a class that, given a list of values generated from an unknown distribut…