<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Andrés Lires Saborido</title><link>https://andreslires.github.io/en/</link><description>Recent content on Andrés Lires Saborido</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Thu, 02 Jul 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://andreslires.github.io/en/index.xml" rel="self" type="application/rss+xml"/><item><title>TFG - Clinical interview simulator with LLM-based virtual patients</title><link>https://andreslires.github.io/en/posts/tfg/</link><pubDate>Thu, 02 Jul 2026 00:00:00 +0000</pubDate><guid>https://andreslires.github.io/en/posts/tfg/</guid><description>Web platform allowing medical students to practice clinical interviews with realistic virtual patients generated by LLMs, with automatic evaluation based on teaching rubrics.</description></item><item><title>Professional Cyclist Similarity</title><link>https://andreslires.github.io/en/posts/ciclistas-similares/</link><pubDate>Fri, 27 Feb 2026 00:00:00 +0000</pubDate><guid>https://andreslires.github.io/en/posts/ciclistas-similares/</guid><description>Implementation of a recommendation system based on feature similarity for WorldTour cyclists.</description></item><item><title>About Me</title><link>https://andreslires.github.io/en/about/</link><pubDate>Thu, 26 Feb 2026 16:59:33 +0100</pubDate><guid>https://andreslires.github.io/en/about/</guid><description>&lt;p>Graduate in &lt;strong>Data Science and Engineering&lt;/strong> from the Universidade da Coruña, passionate about turning data into strategic decisions, with a special interest in the &lt;strong>sports&lt;/strong> and &lt;strong>entertainment&lt;/strong> industries.&lt;/p>
&lt;p>My academic background and hands-on experience allow me to confidently navigate &lt;strong>the entire data lifecycle&lt;/strong>, from data collection and processing to advanced analytics and visualization—all supported by a solid foundation in mathematics, statistics, and programming.&lt;/p>
&lt;p>I am currently furthering my specialization with a &lt;strong>Master&amp;rsquo;s in Statistical Techniques (UDC)&lt;/strong>, focusing on advanced statistical modeling and data analysis.&lt;/p></description></item><item><title>Geospatial Viewer for cattle management</title><link>https://andreslires.github.io/en/posts/vacas/</link><pubDate>Sat, 27 Dec 2025 00:00:00 +0000</pubDate><guid>https://andreslires.github.io/en/posts/vacas/</guid><description>Development of a complete geospatial visualization system for farm management and livestock monitoring, integrating GeoServer, FastAPI, and Leaflet.</description></item><item><title>Road segmentation in high-resolution aerial imagery</title><link>https://andreslires.github.io/en/posts/carreteras/</link><pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate><guid>https://andreslires.github.io/en/posts/carreteras/</guid><description>Implementation of a convolutional neural network (CNN) and image processing techniques for the automatic detection of roads in satellite imagery.</description></item></channel></rss>