Georges Gewargis

Hi, I'm Georges Gewargis

Computer Science Student & Web Developer

I am currently learning and creating beautiful, responsive websites with smooth animations and modern designs. Studying at Washington University in St. Louis, I am passionate about technology and CS as a whole.

About Me

Who am I?

I'm a passionate Computer Science student with a love for full-stack development. I've built several personal and business projects using a wide range of modern technologies and frameworks.

Outside of coding, I enjoy playing video games, listening to music, skateboarding, playing basketball, going to the gym, and spending time with friends.

Location

St. Louis, MO | Chicago, IL

Email

g.georges@wustl.edu

Georges Gewargis

What I Do

Web Development

Creating responsive websites using React, Next.js, and modern CSS. Strong focus on performance and clean code.

UI/UX Design

Designing intuitive and beautiful user interfaces with attention to detail and user experience.

Frontend Engineering

Building interactive, animated interfaces with modern technologies.

Programming Languages

My Education

Washington University in St. Louis

Washington University in St. Louis

Bachelor of Science in Computer Science

2024 - 2028

Relevant Coursework: Data Structures & Algorithms, Calculus 3, Introduction to Computer Science, Introduction to Computer Engineering

My Experience

Habitat Financial

Software Development Intern at Habitat Financial

June 2025 - August 2025

Currently contributing to Habitat Financial, a sophisticated Django-based platform that revolutionizes how music industry professionals manage royalties, deals, and payments. Developing a comprehensive system that processes royalties from several sources and distributors. Key Contributions: • Developing full-stack features using Django, HTMX/Bootstrap CSS, and JavaScript for royalty statement processing and payee management • Building responsive web interfaces for album/artist management, revenue stream tracking, and financial reporting • Implementing data processing pipelines that handle complex royalty calculations across multiple currencies and territories • Contributing to API development for seamless integration with external music platforms and payment systems The platform processes millions in royalties and provides comprehensive analytics for artists, labels, and music professionals. Through this role, I'm gaining hands-on experience with enterprise-level Django development, database optimization, and music industry business logic.

Bliss Salon of Glenview

Web Developer at Bliss Salon of Glenview

April 2025 - Present

Designed and built a fully responsive salon website using React, Vite, SCSS, and JavaScript. Optimized SEO with sitemap, robots.txt, Open Graph metadata, and JSON-LD structured data. Integrated custom DNS/SSL with Vercel and GoDaddy to enable secure public deployment.

blissglenview.com

Inspirit AI

Student AI Scholar at Inspirit AI

June 2023 - August 2023

I completed the Inspirit AI Scholars Program, where I gained a strong foundation in Python, artificial intelligence, and machine learning. Through hands-on projects, I explored natural language processing (NLP) and convolutional neural networks (CNNs) while also studying the ethical implications of AI, particularly in criminal justice.

Featured Projects

Bliss Salon of Glenview screenshot

Bliss Salon of Glenview

Professional salon website built for a real-world client with responsive design, optimized SEO, and secure DNS/SSL integration. Developed with React, Vite, SCSS, and JavaScript.

ReactViteSCSSJavaScript
Portfolio Website screenshot

Portfolio Website

Personal portfolio website showcasing my projects and skills. Built with Next.js, Tailwind CSS, and Framer Motion for smooth animations.

Next.jsTailwind CSSReactFramer Motion
Pomodoro App screenshot

Pomodoro App

Built using HTML, CSS, and JavaScript, a productivity web app implementing the Pomodoro Technique with customizable work and break timers. Integrated task management features for adding, viewing, and managing tasks.

HTMLCSSJavaScript
NutriScan screenshot

NutriScan

Advanced Streamlit application leveraging image analysis to assess nutritional content of food. Implemented API integrations with OpenAI and Foodvisor for personalized recipe suggestions and daily caloric intake calculations.

PythonStreamlitOpenAI APIFoodvisor API
ML Recidivism Predictor screenshot

ML Recidivism Predictor

Designed and implemented a fair and ethical machine learning model to predict recidivation rates with 80% accuracy using Florida county jail data. Analyzed 11,000-row dataset using Pandas, Scikit-learn neural networks, and NumPy.

PythonPandasScikit-learnNumPy

Get In Touch

Contact Information

Feel free to reach out to me for collaborations, job opportunities, or just to say hello!

Send Me a Message