Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Leasy
A web app that allows users to generate and save reports for financial lease analysis using an algorithm based on the German payment plan method 
MechanicMatch
A full-stack web app where car mechanics and drivers can interact with each other for service requests, bookings and more
Thread Bloom
An AI-powered platform that automatically transforms long-form content into formats tailored for Twitter posts or Threads.
publications
Development of a Mobile Application Based on a Machine Learning Model to Identify Potential Cases of Smartphone Addiction in School-Aged Adolescents
Published in 2024 IEEE XXXI International Conference on Electronics, Electrical Engineering and Computing (INTERCON), 2025
This paper developed a mobile app using a 92% accurate machine learning model (logistic regression) to detect smartphone addiction in adolescents. The app, based on a survey and demographic data, offers real-time results for parents and educators, enabling early intervention.
Recommended citation: J. Delgado, J. Hurtado, F. Vasquez (2024). "Development of a Mobile Application Based on a Machine Learning Model to Identify Potential Cases of Smartphone Addiction in School-Aged Adolescents." IEEE. 1(1).
Download Paper | Download Slides
talks
Build API’s with Minimal API’s in .NET
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GitHub Education & GitHub Copilot
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GitHub Copilot Hacks
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.