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Morsinaldo/README.md

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Hi there 👋

My name is Morsinaldo Medeiros and I am graduating in Computer Engineering at the Federal University of Rio Grande do Norte (UFRN). I have a degree in Computer Science from the IFRN and I was the laureate of the class. I am currently just studying and working on research within the university in the field of Natural Language Processing (NLP). I have experience with Python, Tensorflow, Weights and Biases,SQL and other technologies related to MLOps.


My articles on Medium


  • 🔭 I’m currently working as researcher at UFRN

  • 🌱 I’m currently learning Deep Learning with Pytorch and NLP

  • 👯 I’m looking to collaborate on commercial projects

  • 💬 Ask me about Data Science and Machine Learning

  • 📫 How to reach me: [email protected]



Languages and Tools

docker git heroku mysql pandas python pytorch scikit_learn seaborn tensorflow


Pinned Loading

  1. credit_risk_mlops Public

    Jupyter Notebook 4

  2. embedded_artificial_intelligence Public

    This repository contains files of Embedded Artificial Intelligence (DCA 0306) at Federal University of Rio Grande do Norte.

    Jupyter Notebook

  3. GAIND-Light-Weight-Fine-Tuning Public

    This repository contains the Light Weight Fine Tuning project implementation of Udacity's Generative AI NanoDegree

    Jupyter Notebook

  4. SFND-Unscented-Kalman-Filter Public

    This repository contains the code developed in Udacity's fifth and final Sensor Fusion NanoDegree project, which consists of implementing an Unscented Kalman Filter.

    C++

  5. conect2ai/carbot-manual-compare Public

    TypeScript 2

  6. conect2ai/EAIS2024-Autocloud Public

    This repository contains the Autocloud implementation published in the 2024 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS 2024) paper.

    C++ 1 1

57 contributions in the last year

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Activity overview

Loading A graph representing Morsinaldo's contributions from March 31, 2024 to April 03, 2025. The contributions are 98% commits, 2% issues, 0% pull requests, 0% code review.   Code review 2% Issues   Pull requests 98% Commits

Contribution activity

April 2025

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