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Rypsor/README.md

About Me:

👋 Hi, I'm Samuel!

-🔭 I'm currently working on building end-to-end ML projects, focusing on creating scalable data pipelines and deploying models using industry-standard tools.
-🌱 I'm currently learning advanced feature engineering, ensembling techniques, and optimization strategies to climb the ranks in Kaggle competitions.
-👯 I'm looking to collaborate on challenging Kaggle competitions to tackle complex datasets and learn new strategies from a team.

🌐 Socials:

LinkedIn email

💻 Tech Stack:

Python nVIDIA OpenCV Postgres Adobe Lightroom Classic Keras Matplotlib NumPy Pandas Plotly PyTorch scikit-learn TensorFlow Scipy Git GitHub Docker

📊 GitHub Stats:



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  1. AI-agentic-surveillance AI-agentic-surveillance Public

    An intelligent surveillance system that uses multiple AI models (YOLOv5 + Google Gemini) for automatic analysis of security videos.

    Python 1

  2. AI-Traffic-Monitoring-System AI-Traffic-Monitoring-System Public

    This project is a web application built with Streamlit that uses artificial intelligence to analyze traffic videos. The system detects and tracks vehicles, estimates their speed, and generates deta…

    Python

  3. Virtual-Optics-Laboratory Virtual-Optics-Laboratory Public

    This is an educational project developed with Streamlit that brings together a collection of interactive simulators to study and visualize light diffraction phenomena

    Python

  4. BioClassifierAI BioClassifierAI Public

    Forked from jjzm0521/BioClasificadorAI

    Este proyecto es una solución para el desafío "AI + Data Challenge – Tech Sphere 2025".

    Jupyter Notebook