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oalvarobraz/README.md


🧠 About Me

I am an AI & Machine Learning Developer at Apollo Solutions Dev and a Machine Learning Engineer specializing in Deep Learning, Computer Vision, and Generative AI. My work focuses on building end-to-end AI solutions, from training custom neural architectures (Transformers, CNNs, U-Nets) to deploying scalable production systems.

  • 🔭 Currently working as an AI & ML Developer at Apollo Solutions Dev (Remote).
  • ⚡ Expertise in Computer Vision (PyTorch/YOLO), Self-Supervised Learning, and Generative AI (RAG).
  • 🌱 Building scalable AI pipelines with Docker, AWS SageMaker, and Serverless (Lambda).
  • 🎓 Certified in Machine Learning by Stanford University & DeepLearning.AI.
  • 🎯 Goal: Bridging the gap between cutting-edge AI research and high-performance engineering.

🛠️ Tech Stack & Tools

Core & Frameworks


MLOps, Cloud & Backend


📊 GitHub Stats


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  1. blind-assist-ai blind-assist-ai Public

    A Neural Image Captioning system built from scratch with PyTorch. Features a ResNet + Transformer architecture, Beam Search inference, and Text-to-Speech (TTS) for accessibility.

    Python

  2. eco-sort-ai eco-sort-ai Public

    Sistema End-to-End de classificação de reciclagem usando Deep Learning (ResNet50), com API em FastAPI e interface web em Streamlit.

    Jupyter Notebook

  3. NeuroSeg-PyTorch NeuroSeg-PyTorch Public

    Segmentação de Tumores Cerebrais com U-Net e PyTorch. Pipeline completo com Data Augmentation avançado, treino com precisão mista e Dice Score de ~0.85.

    Jupyter Notebook

  4. ppe-detector-yolo ppe-detector-yolo Public

    Safety-Vision: Real-time PPE detection system using YOLOv8 and PyTorch. Monitors helmets and vests usage in construction sites.

    Jupyter Notebook