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  • Mondelēz International
  • Brazil
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pereirarodrigo/README.md

👋 Hello there!

📘 About me

My name is Rodrigo and I'm a computer and artificial intelligence scientist from 🇧🇷 Brazil.

  • 🧑‍🎓 I have a B.Sc. in Computer Science degree from the Universidade Cidade de São Paulo (UNICID), a postgraduate degree in Artificial Intelligence and Machine Learning at the Pontifícia Universidade Católica de Minas Gerais (PUC Minas) and I'm currently working towards obtaining a master's degree in Artificial Intelligence at the University of Essex;

  • 🧑‍💻 I'm currently working as a data scientist at Mondelēz International;

  • 📫 The easiest way to reach me is through my email.


🛠️ Tech stack

Python  Jupyter  Pandas  Numpy  Scikit-learn  PyTorch  TensorFlow  Matplotlib  Azure  AWS  Git

💡 Interests

As an artificial intelligence scientist, I'm interested in many of the subfields of AI, such as machine learning (ML) and natural language processing (NLP). Currently, I'm heavily focused on NLP, neuromorphic computing and reinforcement learning, and I'm mainly exploring the following topics:

  • Exploration;
  • Imitation learning;
  • Actor-critic methods;
  • Policy-gradient methods;
  • Multi-agent reinforcement learning (MARL);
  • Meta-learning;
  • Conversational AI;
  • Spiking neural networks.

Pinned Loading

  1. doominator doominator Public

    Doom-based reinforcement learning agent.

    Python

  2. fuzzyl fuzzyl Public

    Analysing fuzzy logic and inference in approximate reasoning.

    Jupyter Notebook

  3. gail_control gail_control Public

    Applying Generative Adversarial Imitation Learning to a control environment.

    Python

  4. hyper_tuning hyper_tuning Public

    Demonstrating the use, and impact of, hyperparameter tuning and pipelines in machine learning models.

    Python

  5. q_learning q_learning Public

    Reinforcement learning with Python and OpenAI Gym.

    Jupyter Notebook

  6. spark_ml spark_ml Public

    Creating a machine learning model in a distributed computing environment with PySpark.

    Jupyter Notebook