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Achievement: YOLOAchievement: Pull Sharkx2

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cauafsantosdev/README.md

Hey, I'm Cauã!

Information Systems Student at FURG | Machine Learning Enthusiast

👨‍💻 About Me

I'm a second-year Information Systems student at FURG in Rio Grande, RS, Brazil. My primary focus is on Machine Learning, using creativity to develop ML solutions that generate practical insights and deliver value. I also have a strong interest in building the entire infrastructure behind the models, which drives me to constantly improve my Back-End Development skills.

I'm currently seeking an internship opportunity where I can apply my knowledge, learn from experienced professionals, and contribute to challenging projects.

🚀 Currently Focusing On

  • 🤖 Building end-to-end Machine Learning projects.
  • 🐍 Developing APIs with Python using FastAPI while also exploring Go.
  • 🔩 Mastering the ML project lifecycle: from scalable data ingestion and processing with SQL to reproducible, containerized model deployment with Docker.

🛠️ Tech Stack

HTML CSS Tailwind CSS Python Go JavaScript PostgreSQL Docker

Git Visual Studio Code Arch Linux

📊 My GitHub Stats

🧩 Hobbies

Beyond coding, I'm a huge cinephile, as well as a chess player and musician.

Pinned Loading

  1. yadn yadn Public

    A fully serverless AI newsletter and web dashboard for software engineers. Powered by a Go Lambda scraper, DynamoDB deduplication, LLM context-window optimization via Amazon Bedrock, and deployed g…

    Go

  2. nexdwatch nexdwatch Public

    End-to-End ML Recommendation Engine based on Letterboxd user's taste profile. Features async ingestion, reproducible SVD training, and a low-latency inference API built with FastAPI & Docker.

    Python

  3. sisu-preview sisu-preview Public

    An end-to-end ML project to predict SISU cutoff scores using a LightGBM Regressor. Powered by a DuckDB feature store for temporal engineering and domain rules, deployed with Streamlit.

    Jupyter Notebook

  4. scrapxd scrapxd Public

    A Python library for scraping and analyzing Letterboxd data, featuring Pydantic models and export options.

    Python