Stephen
Sulimani

About

Education

Master of Science in Quantitative and Computational Finance

Georgia Institute of Technology, Scheller College of Business

January 2026 – May 2027Atlanta, GA

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Bachelor of Science in Computer Science

University of Georgia, School of Computing

August 2023 – December 2025Athens, GA

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Experience

Software Engineering Intern

Caption Partners

June 2026 - August 2026Oklahoma City, OK

• Optimized the fund's proprietary option pricer to achieve a 10–12x reduction in execution latency using JIT compilation.
• Designed and built a Cox-Ross-Rubinstein binomial option pricing engine from scratch in C++, optimizing memory allocation and dynamic lattice structures to deliver a 94x reduction in wall-clock execution time over an optimized JIT implementation.
• Architected scalable, multi-layer data pipelines using PostgreSQL, AWS S3, and DuckDB for automated equity classification.
• Independently built a secure, centralized API proxy service to manage firm-wide external market data provider integrations.

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

• FareLockerPython · 2026

  A platform where travelers buy insurance on their airfare, each FareLock acts like an American put option, so if the fare drops after booking the customer collects the difference and gets the lowest fare.

  NumPyPandasPostgreSQLDockerSQLAlchemyPydanticGoogle GeminiPhoton/SpectrumReact

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• 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

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• RootsPython · 2025

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

  PythonPandasNext.jsFlaskPostgreSQL

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• Sentiment-Driven Stock PredictorPython · 2025

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

  PythonPandasscikit-learnNLTKGit

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• GroupMeBotTypeScript · 2024

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

  TypeScriptNode.jsREST API

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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