Available for opportunities

Matthew
Arboleda

Full-stack engineer & creative developer building thoughtful digital experiences at the intersection of design and technology.

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01 About

Crafting experiences
with purpose

Matthew Arboleda

Hi, I'm Matthew Arboleda — a developer based in Alhambra, California with a passion for building thoughtful software that solves real problems.

I work across the full stack, from Python & Flask backends to Android apps and machine learning integrations. I care about clean code, meaningful user experiences, and tools that actually make a difference.

Currently a student at Occidental College, where I've built research tools, scheduling systems, and ML-powered applications.

3+
Years Experience
02 Skills

What I bring
to the table

⬡
Frontend

Building responsive, accessible UIs that feel alive.

React TypeScript CSS Javascript
◈
Backend

Scalable APIs and services built for reliability.

Python Java SQL
◉
Machine Learning

Building intelligent systems that learn and adapt.

PyTorch Scikit-learn Wav2Vec 2.0
◇
Mobile & Tools

Building cross-platform apps and developer tooling.

Android Flask Git
03 Projects

Selected work

01
ELPAC Phoneme Detection App
Android app leveraging Wav2Vec 2.0 to provide real-time speech analysis for ELPAC test prep — helping teachers identify student pronunciation gaps and track progress.
Android Wav2Vec 2.0 ML Java
Jan 2026 – Present
02
AI Resume Analyzer
Full-stack web app that uses Google Gemini AI to analyze resumes against job descriptions — scoring fit, surfacing keyword gaps, and providing actionable improvement suggestions. Supports PDF and DOCX uploads with user auth and analysis history.
Next.js TypeScript Gemini AI Supabase Tailwind CSS
View Project →
03
Algoverse AI Research
Research on multi-agent system security vulnerabilities, focusing on encryption-based jailbreak techniques and their implications for AI safety.
Python Multi-Agent Systems AI Security
Jul – Oct 2025
04
Fake News Detector
End-to-end NLP web app that classifies news articles as real or fake using a fine-tuned DistilBERT model (~99.4% accuracy) alongside a TF-IDF + Logistic Regression baseline — with URL scraping, batch CSV prediction, and side-by-side model comparison.
Python DistilBERT Scikit-learn Streamlit Hugging Face
View Project →
05
ML NBA Game Prediction
Flask web app that pulls team averages and uses machine learning to predict the likely winner of any head-to-head NBA matchup.
Python Flask Machine Learning
View Project →
06
Schedule Website
Built for and used by professors at Occidental College to enable cross-departmental course scheduling in a single collaborative interface.
Python Flask
View Project →
07
Database Project Website
A platform for Occidental College students to upload and share information about their academic projects.
Python Flask
View Project →
08
Portfolio Website
The site you're currently on — designed and built from scratch with vanilla HTML, CSS, and JS.
HTML CSS JavaScript
You're here →
04 Contact

Let's build
something great

I'm currently open to freelance projects and full-time roles. If you have an idea or opportunity, I'd love to hear about it.

arboledamatthew10@gmail.com