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

January 2026 – May 2027Atlanta, GA

Bachelor of Science in Computer Science

University of Georgia, School of Computing

August 2023 – December 2025Athens, GA

Experience

Software Engineering Intern

Caption Partners

June 2026 - August 2026Oklahoma City, OK

    Software Engineering Intern

    NCR Voyix

    May 2025 – August 2025Atlanta, GA
    • 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

    May 2024 – August 2024Tel Aviv, Israel
    • 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

    • JuiceArbGo · 2026

      Developed a prediction market arbitrage engine that scans for internal and cross-venue arbitrage on Kalshi, Polymarket, and PredictIt. Utilizes Natural Language Processing, Machine Learning, and Large Language Models to match markets between exchanges and a Go-based service to run arbitrage calculations.

      GoNatural Language ProcessingMachine LearningLarge Language ModelsPostgreSQLNext.jsPython
    • RootsPython · 2025

      Led development of a financial platform for budgeting, investing, and credit services.

      PythonPandasNext.jsFlaskPostgreSQL
    • Sentiment-Driven Stock PredictorPython · 2025

      Developed a machine learning model for stock investment forecasts using financial news sentiment.

      PythonPandasscikit-learnNLTKGit
    • GroupMeBotTypeScript · 2024

      TypeScript library for building GroupMe bots with a clean, extensible API.

      TypeScriptNode.jsREST API

    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.

    stephens@gatech.edu917-929-6939GitHubLinkedIn

    © 2026 Stephen Sulimani