Hi, I'm Enrique Ayala

A Computer Science Student & Back-End Developer

About Me

I'm a Computer Science student at Monterrey's Institute of Technology, passionate about back-end development and cybersecurity. With a strong foundation in various programming languages and frameworks, I enjoy creating efficient and secure solutions to complex problems.

Currently maintaining a GPA of 96.35/100, I've been recognized with an Academic Talent Scholarship and have completed specialized programs in Cybersecurity and Mathematics for Machine Learning.

Back-End Development

Cybersecurity

Machine Learning

Experience

CTO & Co-founder

@Neural Harvest

February 2025 - Present

Querétaro, MX

Leading technical strategy and development of AI-powered agricultural solutions
Managing a team of developers and data scientists
Architecting scalable machine learning infrastructure

Back-End Developer

@CEAMS - Digital Solutions

March 2024 - May 2025

Querétaro, MX

Developed and maintained back-end infrastructure using Node.js and MySQL
Improved website loading times by optimizing server-side operations
Contributed to SEO optimization and traffic improvement
Collaborated with front-end developers for seamless integration

2nd Place - NASA Space Apps Challenge

@UNAQ Querétaro-NASA

October 2024

Querétaro, MX

Developed an unsupervised machine learning model for Marsquakes identification
Created mathematical approach for energy optimization

Projects

Via Alta - Academic Enrollment Management System

Enterprise-level full-stack web application for academic institution management. Features automated student enrollment with prerequisite validation, genetic algorithm-powered schedule generation with conflict resolution, multi-role authentication, and coordinator dashboard. Reduced manual enrollment processing by 80% and eliminated scheduling conflicts through automated validation. Built with Next.js 15, React 19, TypeScript, PostgreSQL, and deployed on cloud infrastructure.

Next.jsReactTypeScriptPostgreSQLNode.jsTailwind CSSGenetic AlgorithmOAuth2Heroku

COVID-19 Variant Analysis: Computational Biology Project

Comprehensive bioinformatics analysis of COVID-19 variants and coronaviruses using advanced computational biology techniques. Features phylogenetic tree construction, statistical modeling with bootstrap validation, sequence analysis, and evolutionary distance calculations. Analyzed 10+ viral variants with TN93 and JC69 models, achieving >95% confidence intervals. Demonstrates proficiency in R programming, bioinformatics, and statistical analysis essential for biotechnology and pharmaceutical research.

RBioconductorPhylogeneticsStatistical ModelingBiostringsggplot2Bootstrap AnalysisDNA Sequencing

Marsquakes Detection Model

An unsupervised machine learning model developed for NASA Space Apps Challenge that identifies potential 'Marsquakes' from InSight Lander data. The project included data cleansing, non-seismic signal elimination, and energy optimization based on rotation angle. Achieved 2nd place in the local event.

PythonMachine LearningData AnalysisSignal Processing

Advanced Password Generator

Enterprise-grade C++ password generator with cryptographically secure algorithms and prime number integration. Features object-oriented design with inheritance, polymorphism, and design patterns (Strategy, Template Method). Implements optimized prime generation, memory-safe RAII principles, and cross-platform compatibility. Demonstrates advanced C++ skills, security-first design, and clean architecture following SOLID principles.

C++Object-Oriented ProgrammingCryptographyDesign PatternsSecurityRAIISTLPrime Algorithms

Restaurant Management System

A comprehensive restaurant management system with admin panel, order management, and secure authentication. Built using object-oriented principles for scalability and maintenance.

C++Object-Oriented ProgrammingDatabase Design

Phishing Website Classifier

Machine learning-based system for detecting phishing websites using TensorFlow and advanced feature extraction. Includes data preprocessing, cleaning, and feature engineering.

PythonTensorFlowPandasScikit-learn