Skip to content
View oalvarobraz's full-sized avatar
6 followers · 5 following
  • Universidade Federal de Ouro Preto (UFOP)
  • João Monlevade, MG, Brasil
  • 06:36 (UTC -03:00)
  • LinkedIn in/alvaro-braz-cunha

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: Pull Sharkx2Achievement: Quickdraw

Block or report oalvarobraz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
oalvarobraz/README.md


🧠 About Me

I am 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 on AWS.

  • 🔭 Currently focused on Generative AI (RAG), Self-Supervised Learning, and AWS Infrastructure.
  • ⚡ Expertise in LLM Orchestration (Amazon Bedrock) and Object Detection (PyTorch/YOLO).
  • 🌱 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

Python PyTorch AWS FastAPI Pandas Numpy ScikitLearn



Git Docker Linux PostgreSQL


📊 GitHub Stats

Snake animation

Pinned Loading

  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