A.J Bamgbelu

About Me

I'm an incoming Software Engineer at Meta. I graduated from Texas A&M University with a Bachelor of Science in Computer Engineering and a minor in Applied Mathematics.

I'm deeply interested in Software Engineering, High Frequency Trading, and Distributed Systems. Previously, I interned at Amazon (Summer 2023) building data pipelines for corporate security infrastructure, and at Meta (Summer 2024) developing AI-powered insights for WhatsApp Business. Most recently at Meta (Summer 2025), I built cross-app infrastructure that reduced content duplication by 20% across Facebook, Instagram, and Threads.

Feel free to reach out at [email protected]

Research

I co-authored "An Algorithm for Geometric Navigation Planning Under Uncertainty Using Terrain Boundary Detection" accepted to IEEE ICRA 2025. My work focuses on:

  • - Deep learning-based terrain classification for autonomous underwater vehicles
  • - CNN architecture fine-tuning (MobileNetV2) for real-time inference
  • - Computer vision systems deployed on physical robotics platforms (Aqua2)

I collaborated with Dr. Jason O'Kane and the Aggie Autonomous Robotics Research Group to develop novel solutions for autonomous navigation and robotic perception.

Projects

  • Nexform: AI-Powered Form and Survey Creation

    Leverages Generative AI to automatically create forms and surveys. Scaled to 300+ users. Built with PostgreSQL, Next.js, and Gemini API. Check it out here

More projects can be found on my GitHub

Interests

  • 1. Software Engineering
  • 2. High Frequency Trading, Hedge Funds, and Quantitative Trading
  • 3. Distributed Systems

Current Reading

  • - Designing Data-Intensive Applications by Martin Kleppmann
  • - The Pragmatic Programmer by Andrew Hunt and David Thomas
  • - The Art of Doing Science and Engineering by Richard Hamming
  • - The Elements of Quantitative Investing by Giuseppe Andrea Paleologo