About

I'm an MS candidate in Quantitative and Computational Finance at Georgia Tech, blending a strong foundation in computer science with a passion for systematic markets.

My focus lies at the intersection of quantitative finance and backend systems. I specialize in engineering high-performance APIs and building scalable data pipelines, with a strong interest in algorithmic trading strategies.

I'm actively seeking opportunities in quantitative development and backend software engineering where I can build fast, resilient infrastructure and tackle challenging, data-intensive problems.

Education

Master of Science in Quantitative and Computational Finance

Georgia Institute of Technology, Scheller College of Business

Bachelor of Science in Computer Science

University of Georgia, School of Computing

Experience

Software Engineering Intern

NCR Voyix

  • Developed React + Material UI interfaces for enterprise applications.
  • Built Go APIs for search functionality and backend services.
  • Created modular, reusable React views to improve development velocity.

Software Engineering Intern

HeyBrain

  • Implemented machine learning solutions for product features.
  • Applied Logistic Regression, OpenAI CLIP, and K-Means clustering to real-world datasets.
  • Built a Svelte/SvelteKit dashboard for internal tools and analytics.

Projects

Leadership & Involvement

Kappa Theta PiVP of External AffairsUniversity of Georgia · April 2024 – December 2025
CodeHub@UGADirector of Project TrackUniversity of Georgia · September 2023 – December 2025
Hillel at KSUTreasurerKennesaw State University · May 2022 – May 2023
Alpha Epsilon PiTreasurerKennesaw State University · November 2021 – May 2023

Skills

Languages

JavaScript
TypeScript
Python
Java
C#
Go
C
C++
Ruby
PHP

Frameworks & libraries

React
Svelte
SvelteKit
Next.js
Node.js
Flask

Databases

PostgreSQL
MongoDB
MySQL
SQLite
Redis

Operating Systems

Linux
macOS
Arch
Ubuntu
Windows

Cloud & DevOps

AWS
Google Cloud
Docker
Git
GitHub

Specializations

Quant Finance
Data Science
Machine Learning

Contributions

Recent activity on GitHub

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Get in touch

Open to opportunities in quantitative development and software engineering.

© 2026 Stephen Sulimani