About me

I'm a Computer Science graduate from Florida State University (2024, 3.7 GPA) and currently pursuing my Master's in Cybersecurity Engineering at the University of San Diego (4.0 GPA, expected October 2026). I combine strong technical foundations with a passion for secure software development and data-driven solutions.

Currently working as a Quant Developer at Curvature Securities (formerly Glacier Peak Capital), a leading fixed income trading firm managing approximately $41 billion in assets. I specialize in developing automated trading systems, secure data pipelines, and real-time analytics platforms that enhance operational efficiency and security for high-value financial operations.

My experience spans full-stack development, cybersecurity engineering, and machine learning applications. I've built production systems using Python, C++, Java, SQL, and modern tools including Docker, Redis, Kafka, Airflow, AWS, and Linux environments. I'm particularly focused on creating secure, scalable solutions that bridge finance, technology, and cybersecurity.

I'm a fast learner, collaborative team player, and dedicated to continuous improvement. My work demonstrates a security-first mindset combined with practical problem-solving skills that deliver real-world impact.

What I'm Doing

  • design icon

    🧠 Quantitative Development

    Engineered automated systems and secure data pipelines to support fixed income trading and client onboarding, improving speed, accuracy, and scalability of financial operations.

  • Web development icon

    📊 Real-Time Analytics

    Built real-time analytics platforms that enhanced trade execution precision and provided deeper visibility into market and operational data.

  • mobile app icon

    🛡️ Cybersecurity Engineering

    Enforced rigorous security standards across all data workflows and high-value financial operations to ensure integrity, confidentiality, and compliance.

  • camera icon

    🛠️ Full-Stack Tooling

    Working hands-on with a modern and diverse stack including Python, C++, Pandas, NumPy, SQL, Excel VBA, Linux, Bash, Docker, Redis, Kafka, Airflow, AWS, and Secure Shell to develop reliable and secure financial systems.

Testimonials

  • Dr. Haydar Majeed

    Dr. Haydar Majeed

    Noah has distinguished himself as a disciplined, mission-oriented professional with strong technical depth and sound judgment.

  • Terry Pigott

    Terry Pigott

    What impresses me most about Noah is his commitment to excellence and accountability.

Daniel lewis
quote icon

Dr. Haydar Majeed

Noah has distinguished himself as a disciplined, mission-oriented professional with strong technical depth and sound judgment.

Job History

  • Quantitative Developer — Curvature Securities

    January 2023 – Present | Remote, San Diego, CA

  • Machine Learning Research Assistant — UNLV

    Fall 2024 – Spring 2025 | Las Vegas, NV

Resume Download

Education

  1. Master's in Cybersecurity Engineering — University of San Diego

    January 2025 - October 2026 (Expected) | GPA: 4.0

    Pursuing advanced cybersecurity engineering degree with focus on secure software development, network security, cryptography, threat intelligence, and incident response. Maintaining perfect 4.0 GPA while working full-time.

    Download Letter from Program Head (PDF)

  2. Bachelor of Science in Computer Science — Florida State University

    August 2019 - January 2024 | GPA: 3.7

    Graduated with strong foundations in algorithms, data structures, software engineering, databases, operating systems, and computer architecture. Completed coursework in machine learning, cybersecurity, and full-stack development.

Experience

  1. Quantitative Developer — Curvature Securities

    January 2023 - Present | Remote (San Diego, California)

    Developing automated trading systems and secure data pipelines for a $41B fixed income trading firm. Building real-time analytics platforms using Python, C++, Pandas, NumPy, SQL, Docker, Redis, Kafka, Airflow, and AWS. Enforcing rigorous security standards across all data workflows and high-value financial operations.

    Download Recommendation Letter (PDF)

  2. Machine Learning Research Assistant — UNLV

    Fall 2024 - Spring 2025 | Las Vegas, Nevada

    Collaborated on cutting-edge machine learning research projects, contributing to data analysis, model development, and academic publications in AI and data science.

Official Academic Verification

Download official transcripts to verify my academic credentials:

Portfolio

Contact

Contact Form