About

Cristian Encalada

Software & AI Developer

Montevideo, Uruguay

With a background as Electronics Engineer and experience in Manual/Automation QA, I am currently contributing as a Software & AI Developer.

Expertise building Generative AI systems:

Large language models (LLMs) and NLP techniques to extract insights from text.
Computer vision and image processing tasks
AI-powered chatbots for natural user interactions

Proficiency in English (B2 level).

Projects

These are some projects that I worked on

TagNCount

React
TypeScript
Vercel
FastAPI

Web app that uses computer vision to detect, label, and count objects in images

Alquivago

Next.js
TypeScript
Tailwind
Vercel

Web app that compares long-term rental prices from multiple sources in Montevideo - Uruguay

3D Web App

React
JavaScript
Next.js
Vercel

An interactive 3D page, built as a tribute to "The Little Prince", novella by Antoine de Saint-Exupéry.

Blog

Personal blog where I share my experiences and knowledge about software development, AI and electronics.

Published on
June 20, 2025
Classification Methodology in Supervised Learning - Complete Guide to ML Workflow and Naive Bayes
supervised-learning classification machine-learning methodology naive-bayes text-classification cross-validation
A comprehensive guide to the classification methodology in supervised learning, covering the complete ML workflow from data preparation to model evaluation, plus an in-depth look at Multinomial Naive Bayes for text classification.
Published on
June 16, 2025
Unsupervised Learning - A Complete Guide to Clustering Algorithms and Validation
unsupervised-learning clustering k-means dbscan machine-learning data-science
A comprehensive guide to unsupervised learning and clustering algorithms, covering K-means, DBSCAN, hierarchical clustering, and both internal and external validation methods for optimal results.
Published on
June 13, 2025
Artificial Neural Networks (ANN) - Complete Overview and Types Guide
artificial-neural-networks deep-learning machine-learning cnn rnn lstm transformer
A comprehensive guide to Artificial Neural Networks, covering the fundamentals, different types of neural network architectures, their applications, and when to use each type for optimal results.
Published on
June 9, 2025
Linear Regression vs Logistic Regression - Understanding the Key Differences and When to Use Each
machine-learning linear-regression logistic-regression comparison algorithms statistics
A comprehensive comparison between Linear Regression and Logistic Regression, covering key differences, mathematical foundations, implementation examples, and practical guidance on when to use each algorithm.
Published on
June 5, 2025
K-Nearest Neighbors (KNN) Algorithm - A Complete Guide to Understanding and Implementation
machine-learning knn k-nearest-neighbors classification regression algorithms
A comprehensive guide to the K-Nearest Neighbors (KNN) algorithm, covering theory, implementation, distance metrics, parameter tuning, and practical applications with real-world examples.

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