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otaviosoaresp/README.md

πŸ’« About Me:

πŸ‘‹ Hi, I'm a passionate Software Engineer with expertise in web development, specializing in Angular, Python, and Django. Over the years, I've developed a strong foundation in clean architecture, test-driven development (TDD), and scalable backend systems.

πŸ’‘ I thrive on solving complex challenges and building efficient, maintainable code. I have experience working on both frontend and backend technologies, having contributed to full-stack projects using frameworks like Angular and Django. My goal is to continue expanding my knowledge in microservices, real-time data processing, and cloud architecture.

πŸš€ Recently, I've been exploring the intersection of AI and software development, leveraging tools like LLMs to create more intelligent and dynamic solutions. I enjoy integrating AI features into projects to enhance productivity and user experience.

πŸ”§ Tech Stack:

Frontend: Angular, React, TailwindCSS, SCSS
Backend: Django, FastAPI, NestJS
DevOps: Docker, Fly.io, VPS deployments
AI/ML: Integration with local models (Ollama), Retrieval-Augmented Generation (RAG)
🌱 Always eager to learn, my current focus is on mastering advanced architectural patterns, messaging systems (RabbitMQ, Kafka), and improving my skills in system design for large-scale applications.

πŸ“ˆ Let's connect and collaborate on exciting projects that push the boundaries of technology!

🌐 Socials:

LinkedIn

πŸ’» Tech Stack:

JavaScript TypeScript Python Java NodeJS Firebase AWS Angular SASS Spring Flutter FastAPI Firebase MySQL Postgres Docker Jenkins Nginx TailwindCSS Django Dart CSS3

πŸ“Š GitHub Stats:

✍️ Random Dev Quote


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  1. alg-quiz-llm alg-quiz-llm Public

    A full-stack web application for learning and practicing algorithms through interactive quizzes. Built with React on the frontend and FastAPI on the backend, it offers algorithm creation and manage…

    TypeScript

  2. rag_bot_ollama rag_bot_ollama Public

    A Chatbot that use a local LLM through ollama and a vector search with Qdrant to find and return relevant response from text, PDF, CSV and XLSX files.

    Python 1

  3. screen-reader-py screen-reader-py Public

    A desktop application that captures algorithmic problems from the user's screen, processes them using OCR (Optical Character Recognition), and sends them to a local AI model for a solution.

    Python

  4. chat-flutter chat-flutter Public

    Aplicativo feito durante o curso de Flutter da Angela Yu

    Objective-C