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wyctorfogos/README.md

Hi 👋, I'm Wyctor

A passionate backend developer, data scientist, data analyst, AI researcher/developer, and judicial analyst (AI) from Brazil.

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🌱 I’m currently learning multimodal models, computer vision, AI, NLP, LLM, VLM, Teleheabilitation and Telemedicine
💬 Ask me about Python, JavaScript, AI, ML, TensorFlow, PyTorch, NLTK, and Computer Vision
📫 How to reach me: wyctor
⚡ Fun fact: In English, my name can be translated as “fire from the rock.

🧠 Currently Working On

  • Building multimodal machine learning systems for healthcare
  • Researching cross-attention mechanisms in vision-language models
  • The impact of VLM analysis of skin lesion images.
  • Study of juridic sentences' classification process (Embedding sentences for juridic text classification).

🚀 Projects

  • Chatbot integrated with TELEGRAM bot: A simple chatbot integrated with TELEGRAM bot with support for English, French, Spanish, and Portuguese. Additionally, the history of user conversations is stored in a MongoDB (NoSQL) database; however, users can delete it without losing their registration. The last upgrade can read and then analyze a PDF file according to the user's request for the LLM model. (https://github.com/wyctorfogos/telegram-chatbot-and-object-description)
  • Clothes Detection: A Dockerized microservice that detects different types of clothing via a REST API.
  • Chatbot Service: A containerized chatbot deployment for real-time user interaction.
  • Safe Vestments Detection: A security supervisor tool to verify the proper use of safety gear. Watch Demo
  • JWT Authentication API: Secure service for issuing, registering (PostgreSQL), and invalidating JWT tokens.
  • Dijkstra algorithm: An application of Dijkstra. (https://github.com/wyctorfogos/Dijkstra-algo-project-data-structure.git)
  • License Plate Reader: Image preprocessor that reads and recognizes license plate digits.
  • Concrete Crack Recognition: Model and interface for identifying cracks in concrete structures.
  • Crop Faces using MTCNN: Docker microservice to detect, crop, and preprocess human faces.

Explore more: My Repositories


📚 Academic Projects


🛠️ Tech Stack

Languages & Frameworks: Python, JavaScript (Node.js, Express), C, SQL (PostgreSQL, MySQL)
Web & Backend: HTML5, CSS, FastAPI, Flask, JWT, Nginx (Reverse proxy) Data & ML: TensorFlow, PyTorch, scikit-learn, OpenCV, Matplotlib, Pandas, Seaborn DevOps & Tools: Docker, Kafka, RabbitMQ, Grafana, Redis, MongoDB, Git, Postman, AZURE


📫 Connect with me

LinkedIn Kaggle Instagram Discord


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