Hi, I'm Georges Gewargis
Computer Science Student & Software Engineer
I'm a CS junior at WashU. I love music, so I write software for the music industry, currently at Habitat Financial. This past summer I was at Oracle on the Cloud Safety team.
About Me
Who am I?
At just the age of three, I stepped into the world of tech by playing Call of Duty with my cousins. I've been passionate about it ever since, and it's why I ended up in software. My work has spanned frontend, backend, safety engineering, chaos engineering, and distributed cloud systems.
Outside of coding, I enjoy playing video games, listening to music, skateboarding, playing basketball, going to the gym, and spending time with friends. I'm a big music head and I'll listen to just about anything, which is part of why building software for the music industry appealed to me. Lately it's been a lot of Laufey, Phoebe Bridgers, and a band called Petite League!
Location
St. Louis, MO | Chicago, IL
g.georges@wustl.edu
My Skills
Technical Skills
Languages
Frameworks & Tools
My Education
Washington University in St. Louis
Bachelor of Science in Computer Science
Aug 2024 – May 2028
Relevant Coursework: Data Structures & Algorithms, Analysis of Algorithms, Programming Systems & Languages, Parallel & Concurrent Programming, Cloud Computing with Big Data Applications, Rapid Prototype Development & Creative Programming, Logic & Discrete Mathematics
My Experience
Oracle
Oracle Cloud Infrastructure (OCI)
Nashville, TN
Software Engineering Intern, Cloud Safety Team
May 2026 – Aug 2026
• Built a Django feature for an internal hazard-tracking tool that renders weekly reports into customizable Slack Block Kit messages for executives, with payload validation, three checks before any live post, and 86 unit tests • Reproduced a bug in an internal deployment system that could leave two copies of an application running after a deploy, then wrote the after-action report proposing a fix and a way to detect it automatically • Owned triage of 13 infrastructure hazards across more than 10 OCI service teams, chasing each one down to a named owner and evidence that the fix actually worked • Prototyped a pipeline that scraped and de-identified 1M+ public Oracle Forums posts for an internal harm-review tool, classifying them by harm type and severity to find problems customers never filed tickets about • Added the harm-review tool's first accessibility support, testing keyboard and screen-reader flows in a CLI browser
Habitat Financial
St. Louis, MO
Software Engineer
Jul 2025 – Present
• Lead engineer on JukeHouse.FM, a Django/PostgreSQL publishing platform that automates registering a songwriter's catalog with collection societies instead of filing with each one by hand • Registered JukeHouse as a publisher with ASCAP, BMI, and The MLC, then built its CWR 2.1/3.0 generator and validator that packages each work into the format those societies require • Designed its deployment architecture: Docker on Railway with PostgreSQL, Redis, and Celery for asynchronous royalty jobs, and S3-backed media storage
Software Development Intern
May 2025 – Aug 2025
• Developed full-stack interfaces (Django, PostgreSQL, HTMX, JavaScript) for album/artist management, revenue tracking, and financial reporting for 120+ client teams across 486K+ track records • Implemented royalty pipelines that normalize territories, stores, and currencies from raw CSV files, then apply deal terms, splits, and tax to produce artist earnings across 5,000+ statements to date
Featured Projects
Trellofy
A full-stack Trello clone built with React, Express.js, Node.js, and MongoDB. Features drag-and-drop functionality, user authentication, and responsive design for seamless task management. Served on AWS EC2 (expired due to free-tier limits) with a MongoDB Atlas database.
Multi Room Chat Application
A real-time multi-room chat application built with Node.js, and Socket.io. Features user authentication, room creation, and message persistence. Deployed on AWS EC2 (expired due to free-tier limits).
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.
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.
Get In Touch
Contact Information
Feel free to reach out to me for collaborations, job opportunities, or just to say hello!