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  • 👋 Hi, I’m @DevAlvaroF
  • 👀 I code mostly in .NET C#, JavaScript and Python on projects related to Machine Learning and Web Development
  • 🌱 My Dream is to work on something bigger than myself
  • 💞️ My Interests: Meditation, space exploration and reading Sci-Fi

More about me BELOW

🧰 Languages and Tools

C# ASP .NET Blazor

Python Pytorch Tensorflow

JavaScript TypeScript HTML CSS Git

MySQL Microsoft SQL Server MongoDB

👨‍💻 More on Alvaro's Coding Journey

 I started coding during my bacherlor´s degree with C ad C++ mostly for Robotics and Kinect. Following that I worked on SAP with SQL databases.
For my Master's Degree I focused on Image Processing with traditional Machinel Learning and Deep Learning applications with Pythonn. The search for new frameworks lead me to JavaScript as it allows flexibility and implementation on different servers (along with the typed implementation TypeScript). I would like to focus on real data applications and flexible technologies to deploy AI algorithms and so I have dwelved into Node.js to achieve this.

Alvaro F's Projects

music-recommender-annoy icon music-recommender-annoy

Music Recommender using ANNOY and Google's AudioSet: https://research.google.com/audioset/download.html

notepad-csharp-wpf icon notepad-csharp-wpf

Notepad alternative developed on WPF and RichText forms. Allows printing and save.

pig-game icon pig-game

Pig Game on JavaScript (Vanilla) with HTML and CSS

readme-animated-typing icon readme-animated-typing

Animated typing to insert to Github Readme built with .NET 6 Renders SVG for both Readme and HTML

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

waldo-cross-correlation icon waldo-cross-correlation

Cross Correlation used to find waldo with the sample image. Just to demonstrate the template matching function of CC

yelp-review-classifier-nlp icon yelp-review-classifier-nlp

Study yelp reviews to classify based on the information typed to understand the customer happines. Natural language processing is used for this exercise.

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