Hello!!! I am...

Marvin Adorian Zanchi Santos

| BSc Graduate in Software Development
| Web & Back-End · Mobile · Cloud

Marvin face photo

ABOUT ME

Coder

I recently completed a Bachelor’s degree (Hons) in Software Development at South East Technological University (SETU), Carlow, with a strong interest in web and back-end development, as well as mobile, cloud, and DevOps-related technologies.

I enjoy building practical software projects from planning and implementation to testing, documentation, and deployment. My final-year Android project, Smart Marathon Runner, received the Netwatch Software Development Award at the SETU Carlow Showcase 2026.

MY SKILLS

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Front-end

Experience with HTML5, CSS3, responsive design, and JavaScript fundamentals. I focus on building clean, accessible, and user-friendly interfaces for web projects and portfolio pages.

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Back-end

Strong foundation in Java, Object-Oriented Programming, PHP, MVC architecture, REST APIs, and application logic. I enjoy writing structured, maintainable code and connecting front-end interfaces with back-end functionality.

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Database

Experience with MySQL, ER diagrams, SQL queries, and database administration tools. I am also expanding my knowledge in cloud computing, AWS fundamentals, Docker, and deployment workflows.

MY PROJECTS

Smart Marathon Runner Mobile Application

Netwatch Software Development Award - SETU Carlow Showcase 2026.

Final-year Android project designed to help novice marathon runners analyse Strava activities, monitor training progress, and receive adaptive feedback based on pace execution, consistency, and plan completion.

Android Kotlin Jetpack Compose MVVM Room Retrofit OAuth 2.0 Strava API
View on GitHub →  |  Website →
Barbershop System & Cloud Migration

Full-stack barbershop booking system with product sales, Stripe payments, role-based dashboards, Docker containerisation, and AWS cloud migration from a shared hosting environment.

Full-stack PHP MySQL MVC Stripe API Docker AWS Cloud Migration
View on GitHub →
Marathon Finish Time Predictor

Data science project using a real-world marathon dataset to clean, explore, train, and evaluate a linear regression model, deployed as an interactive Streamlit prediction app.

Machine Learning Python Pandas Scikit-learn Linear Regression EDA Streamlit
View on GitHub →  |  Live demo →

CONTACT ME