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imprvhub/README.md
Iván Luna - Software Developer Portfolio

I drive innovation, teamwork and integrity, seeking to provide solutions that generate impact and value. I began specializing in Python in October 2020 and since then, I have had the opportunity to integrate backends in Python with artificial intelligence and frontend solutions. I have also acquired knowledge in frontend development using technologies such as Vanilla JS, React.js, Astro.js, Vue.js and Node.js, as well as experience working with cloud technologies like AWS, Azure and GCP.

I am committed to contributing to open source projects and am always seeking new challenges that allow me to expand my technological horizons and continue growing professionally in development.


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Tech Stack:

Python fastapi Flask Django Docker TensorFlow Scikit-learn React Vue.js javascript astro Nodejs
Google Cloud Platform github actions Azure Netlify git npm amazonaws vercel mysql postgres

Most Used Languages

How to Reach Me:

Email: contact@ivanluna.dev

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  1. multimodal-gesture-recognition multimodal-gesture-recognition Public

    Real-time gesture recognition system using OpenCV and MediaPipe for detecting hand gestures, facial expressions, and body postures through computer vision.

    Python 1

  2. somnolence-detection somnolence-detection Public

    Real-time driver drowsiness detection system using computer vision, OpenCV, and MediaPipe face mesh. Monitors eye movements and calculates Eye Aspect Ratio (EAR) to detect fatigue, providing immedi…

    Python 1

  3. aws-samcli-dynamodb-template aws-samcli-dynamodb-template Public template

    a serverless solution template built using AWS SAM, Lambda, DynamoDB, and S3. This application is designed to efficiently process and analyze text data in a scalable manner.

    Python 1

  4. cinemathe cinemathe Public

    a vue-django rest framework based web app for querying movies and series.

    Vue 1

  5. news-scraper-bigquery-gcloud news-scraper-bigquery-gcloud Public

    a python-based web scraper that collects news articles from an specific source, processes them, and stores them in Google BigQuery. The application is containerized with Docker and can be deployed …

    Python