Hi there, I'm Stephen Sulimani 👋

I am a Master of Science in Quantitative and Computational Finance (MS-QCF) candidate at Georgia Tech, graduating in May 2027. With a strong foundation in Computer Science and experience in Software Engineering, I build tools at the intersection of finance and technology.

🎯 Objective

I am actively seeking Quantitative Development and Software Engineering internships for Summer 2026. I am interested in roles that leverage my experience in API design, machine learning integration, and full-stack development.

🔎 Research Experience

Research Assistant | University of Georgia

• Stock Clustering & Mean Reversion: Conducted research under Dr. Tucker Balch focusing on stock clustering techniques and empirical testing of the mean reversion theory.
• Applied computational methods to analyze market behaviors and validate statistical arbitrage hypotheses.

⚒️ Technical Toolkit

• Programming: Python, JavaScript, TypeScript, Java, C#, Go, C, C++
• Frameworks & Libraries: React, Next.js, Svelte, Node.js, Flask, Pandas, scikit-learn
• Databases & Tools: PostgreSQL, MySQL, MongoDB, Docker, Git, AWS, Google Cloud
• Quantitative Coursework: Derivative Securities, Fixed Income Securities, Numerical Methods in Finance, and GenAI in Finance

🚀 Experience Highlights

• Software Engineering Intern @ NCR Voyix: Built Go APIs for paginated and sorted search across large-scale retail datasets and designed modular React interfaces to improve data accessibility.
• Software Engineering Intern @ HeyBrain: Delivered tailored machine learning solutions using Logistic Regression and K-Means, and built Svelte dashboards for data classification.
• Financial Platform Development (Roots): Led the development of a platform integrating budgeting, investing, and AI-driven recommendations; awarded Best Financial Hack at HackPrinceton.
• Sentiment-Driven Stock Predictor: Engineered a scalable data ingestion and preprocessing pipeline to clean and structure thousands of financial articles for ML-based forecasting.

🎓 Education

• Georgia Institute of Technology: M.S. in Quantitative and Computational Finance (Expected 2027).
• University of Georgia: B.S. in Computer Science, summa cum laude (GPA: 3.91)

📫 Connect with Me

• LinkedIn: linkedin.com/in/stephensulimani
• Email: [email protected]
• Resume
• Location: New York, NY | Atlanta, GA