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

Back-End Developer

@ceams.co

March 2024 - Present

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

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

Python Password Generator

A secure password generator with customizable criteria including length, character types, and prime number integration using the 6k±1 prime test.

PythonCryptographyAlgorithm Design

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