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Hi there 👋

I'm Luis. I'm a technologist, developer, and content creator based out of the NYC area. Currently at Microsoft working on Machine Learning for .NET.

You can find me at lqdev.me and elsewhere

Luis Quintanilla's Projects

algorithms icon algorithms

Coursera Algorithms Course from Priceton University

apfs icon apfs

Sample ActivityPub implementation in F#

azure-search-openai-demo-csharp icon azure-search-openai-demo-csharp

A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

blazly icon blazly

A .NET Core 3.0 Razor Components Library for Plotly.js

cointerminal icon cointerminal

Console application that displays real-time and historical Bitcoin Price Index (BPI) data powered by the [CoinDesk](http://www.coindesk.com/price) API. Real-Time information is automatically updated every minute. Historical graph and table use the same historical data source, which by default displays the last 31 days of USD data points.

commonmark.net icon commonmark.net

Implementation of CommonMark specification in C# for converting Markdown documents to HTML. Optimized for maximum performance and portability.

conversations icon conversations

Conversations is an open source XMPP/Jabber client for Android

datasets icon datasets

🎁 2,000,000+ Unsplash images made available for research and machine learning

docs icon docs

This repository contains .NET Documentation.

docs-1 icon docs-1

Documentation for ASP.NET and ASP.NET Core

docs3.x icon docs3.x

GL.iNet documentation for firmware 3.x

dsalgo icon dsalgo

Data Structures and Algorithms Practice

faradayio icon faradayio

Asynchronous input/output program linking a network interface and UART port for Faraday radios

farmer icon farmer

Repeatable Azure deployments with ARM templates - made easy!

fitch icon fitch

Command line system information display utility for Linux systems built with .NET.

fsaccordsuavedemo icon fsaccordsuavedemo

F# Naive Bayes Classification Model built with Accord.NET and exposed via a Suave API

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