John Angelo Tarroza
Fresh grad, interested in emerging tech
Computer Science graduate who builds complete web solutions — intuitive front-ends backed by reliable systems — and enjoys turning raw data into insight that's actually useful.
About
I like solving problems through code, design, and data. I build complete web solutions that pair intuitive front-ends with reliable back-end systems, and I care about writing code that's clean and maintainable enough to support real-world use.
What excites me most is where creativity meets logic — building an application, engineering a system, or digging patterns out of a dataset. I'm always learning, adapting to new tools, and looking for projects where the work actually makes a difference.
Full stack
Data analysis
Software engineering
Machine learning
Technical skills
technologies I work withJava
OOP, Spring framework, enterprise applications
Python
Machine learning, data analysis, automation, web scraping
C++
System programming, algorithms, data structures
JavaScript
ES6+, DOM manipulation, async, modern frameworks
HTML5
Semantic markup, accessibility, SEO
CSS3
Flexbox, Grid, animation, responsive design
React
Component architecture, hooks, state management
AWS
Cloud infrastructure for apps and deployments
upskillingEducation
BS in Computer Science
Comprehensive study of computer science fundamentals, software engineering principles, and advanced programming concepts.
Experience
IT Intern
Supported administration and maintenance of system and network infrastructure — configuration, device setup, debugging, and troubleshooting — to keep operations stable and sustain uptime.
Projects
Pokédex Explorer
live projectA responsive single-page app for browsing, searching, and comparing 1,000+ Pokémon using live data from the PokéAPI — multi-category filtering, debounced search, and a comparison tool built on Recharts for visualizing stat distributions.
Personal Portfolio
activeA responsive portfolio site with a dark/light theme toggle, glassmorphism design, and smooth animations across every device — the original version of the site you're looking at right now.
NLP Thesis — Hybrid Phishing Detection
thesisEnhancing phishing-detection accuracy on social media through a hybrid NLP–URL ensemble using a Mixture of Experts approach, combining logistic regression and DistilBERT models.
GitHub
live from @CS-AngeloTarrozaGet in touch
Curious how I can optimize your models or pipelines?
Open to full-time roles and internships where I can build real things and learn fast.