Hello, I'm
Jean Almario
Computer Science Student & Full Stack Developer
passionate about building solutions that matter.
About Me
Passionate about technology and innovation
I am a Computer Science student at Texas Tech University with a strong interest in software development, web technologies, and machine learning. I have experience building full-stack applications, developing APIs, and working with multiple technologies.
I am passionate about solving problems, collaborating in team environments, and continuously learning new skills to expand my technical expertise. Beyond academics and projects, I stay active by playing soccer and going to the gym, always striving for balance and growth in both personal and professional aspects of my life.
2027
Expected Graduation
3.8+
GPA
Experience
Software Engineer Intern
Contributed to the company's platform by developing responsive Angular frontend features and building a Node.js/Express backend module to automate PDF-to-Excel reporting.
- Reduced manual reporting time through automation
- Collaborated with team of 4+ developers in an Agile environment
- Delivered production-ready features using Git for version control
Backend Team Member
Participating in intensive software engineering training focused on backend development.
- Building full-stack applications with industry-standard practices
- Mastering data structures and algorithms
Mentor
Mentoring fellow students in computer science concepts and career development.
- Guiding students through technical challenges
- Fostering a supportive community for Hispanic engineers
Featured Projects
AGENTIFY WEB — Multi-Agent AI Website Generation Platform
Developed an AI-powered full-stack platform that generates and deploys complete React websites from natural language descriptions using a multi-agent architecture.
Real-Time Multilingual Chat Platform
Developed a full-stack real-time chat application with AI-powered translation and message encryption. Built with Next.js frontend and Node.js backend, featuring Google Gemini AI integration for seamless multi-language communication and AES-256-CBC encryption for secure messaging.
Reinforcement Learning Snake Game
Developed a Deep Q-Learning AI agent that learns to play Snake through trial and error. Implemented a neural network using PyTorch to approximate Q-values, with real-time visualization and experience replay for efficient learning.
Full-Stack E-Commerce Frontend
Developed a responsive, production-ready e-commerce frontend using Next.js and React, integrating with the backend API for full functionality.
Full-Stack E-Commerce Backend
Built a RESTful API with Node.js and Express to handle all e-commerce operations, including products, users, carts, orders, and admin functionalities.
Lexical & Syntax Analyzer
Designed and implemented a lexical analyzer and syntax parser in C++ to process source code, identify tokens, and validate grammatical structure based on formal language rules.
Wine Quality Prediction
Built a machine learning model in Python to classify wine quality using chemical features. Implemented logistic regression with gradient descent, performed EDA and preprocessing, and evaluated performance with scikit-learn metrics, achieving 76% accuracy and 0.77 F1-score.