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brenomchd/README.md

Howdy, I'm Breno 🤠

Machine Learning & AI Engineer focused on Machine Learning, Generative AI, LLMs, RAG, AI Agents, and MLOps.

Role:.............. Machine Learning & AI Engineer
Organization:...... Center of Excellence in AI (CEIA)
Research:.......... Applied AI @ HAILab (UFG)

Stack:............. Python • PyTorch • Scikit-learn
................... Transformers • LangGraph • LangChain
................... Apache Spark • MLflow • Kubeflow
................... Docker • FastAPI

Currently Building:
• AI-powered Decision Support Systems
• Retrieval-Augmented Generation (RAG) Applications
• Applied Machine Learning for Healthcare

Links:
• LinkedIn: linkedin.com/in/brenomchd
• Hugging Face: huggingface.co/brenomchd

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  1. power-rag power-rag Public

    Forked from buenofgustavo/desafio-agentes-nlp

    Hybrid RAG system for ANEEL documents, using BM25 + embeddings with LangGraph-based query expansion, multi-step retrieval, and FastAPI/Streamlit interface.

    Python

  2. gait-parkinsons-unsupervised gait-parkinsons-unsupervised Public

    Repository with undergraduate research experiments on unsupervised machine learning applied to gait data for neurodegenerative disease investigation.

    Jupyter Notebook

  3. spark-performance-analysis spark-performance-analysis Public

    Forked from gabrielsfg/Parallel-Computing

    This project was developed with the goal of applying concepts learned in the Parallel Computing course to a real Big Data scenario, using the U.S. traffic accidents dataset and the Apache Spark fra…

    Jupyter Notebook 1

  4. smart-warehouse smart-warehouse Public

    This project implements a Smart Warehouse system based on a distributed microservices architecture using Python, FastAPI and Docker.

    Python

  5. rempture rempture Public

    Forked from tiagolcxt/REMPTURE

    Rempture is a 2D psychological horror platformer auto-runner, where light and shadow are not just visual effects, they are your only hope for survival.

    JavaScript

  6. nlp nlp Public

    Practical applications and experiments in Natural Language Processing, covering text preprocessing, embeddings, classification, and language models.

    Jupyter Notebook