Paul Adrian L. Godes

I craft beautiful, functional web experiences with modern technologies. Passionate about clean code, user experience, and bringing ideas to life.

Get to Know Me

I'm more than just a developer - I'm a person with passions, hobbies, and dreams

The Developer

I'm a Computer Science degree holder and passionate full-stack developer who loves creating digital solutions that make a difference.

  • Fresh graduate with hands-on experience in web development
  • Specialized in React, Next.js, and TypeScript
  • Built the RTU - MIS Office Queueing System with my team
  • Focused on performance, usability, and maintainability
Profile

Technologies I Work With

Frontend Development

Creating responsive, interactive user interfaces with modern frameworks like React and Next.js.

Core

React
Next.js
TypeScript
Tailwind CSS
Figma
Canva
Shadcn
Lucide-react

Additional

JavaScript
HTML/CSS

Backend Development

Building scalable APIs and robust server-side applications using Node.js and Python.

Core

Node.js
Python

Additional

Laravel
Flask
Socket.io

Database Management

Modeling and optimizing databases for performance and scalability.

Core

SQL

Additional

Firebase

Developer Tools

Using productivity tools to streamline development workflows and deployments.

Core

Git
GitHub
VS Code
Vercel

Additional

Docker
Postman

Project Deep Dives

Comprehensive case studies showcasing problem-solving approach, technical solutions, and measurable impact.

Featured Projects

Real-time Queueing System

Real-time Queueing System

A local web application designed for RTU's MIS Office to manage queues in real-time. It supports dynamic form generation and efficiently handles hundreds of concurrent users with live updates.

Technologies Used
Next.js
TypeScript
Socket.IO
Prisma
Tailwind CSS
Zustand

RTU's MIS Office was experiencing long wait times and inefficient queue management, leading to student frustration and administrative bottlenecks. There was no visibility into wait times or queue positions, causing confusion and overcrowding.

Key Challenges:
  • Handling 300+ concurrent WebSocket connections efficiently
  • Implementing real-time queue position updates without conflicts
  • Creating a flexible dynamic form generation system
  • Ensuring system reliability during peak usage hours
Predicting Generalized Anxiety Levels

Predicting Generalized Anxiety Levels

A thesis project that serves to predict generalized anxiety levels amongst the Pamantasan ng Lungsod ng Pasig students.

Technologies Used
Laravel
PHP
SQL
Python
Flask
Chart.js
Tailwind CSS

Planning to migrate the project to the Next.js framework, since the current version is no longer maintained and does not have a GitHub repository.

Mental health assessment in academic institutions lacked systematic approaches to identify students at risk of generalized anxiety disorder, leading to delayed interventions and inadequate support systems.

Key Challenges:
  • Ensuring data privacy and ethical handling of sensitive mental health information
  • Integrating Python ML models with PHP Laravel backend
  • Creating accurate predictive models with limited training data
  • Designing user-friendly interfaces for both students and counselors

Other Projects

Stay tuned, I’m still adding more projects to this portfolio.

Get In Touch

I'm always open to discussing new opportunities and interesting projects. Let's create something amazing together!

Let's talk

Whether you have a project in mind or just want to chat about technology, I'd love to hear from you.

paulgodes11@gmail.com
+639623876732 / +639777863226
Pasig City, Philippines

Response Time

I typically respond to emails within 24 hours during business days.

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