Hi, I'm David Majomi

 

I am a CS & Math double major at Rutgers University passionate about leveraging technology to enhance human capabilities from learning to decision making, while ensuring tech and AI systems remain transparent, and human centered.

 

TECHNICAL SKILLS:

  • Backend: Flask, REST APIs, PHP, MariaDB/MySQL, SQLite3, Docker
  • Frontend: HtML, CSS, Javascript, React Js
  • Languages: C++, Python, Java, SQL, GO
  • Development Tools: Git, GitHub, VS Code, Code Blocks, VCPKG, CMAKE, Make
  • Libraries & Frameworks: Boost C++, SQLAlchemy, Pandas, Streamlit, Fernet

    • Experience Highlights

    • Engineering @ Caelo

      Summer 2025

       

    • Jane Street Estimathon

      Participant - Jane Street HQ, New York

      June 2025

       

    • Mckinsey Forward Program

      April 2025 - July 2025

       

    • Goldman Sachs Virtual Insight Series

      May 2025 - June 2025

       

    • Freelance Software Engineer

      September 2024 - January 2025

       

    • The Tech Cadets - Project Lead

      May 2024 - September 2024

       

    • Headstarter AI Software Engineering Fellow

      July 2024 - September 2024

       

    • VC Deal Sourcing Extern at Revroad

      July 2024 - August 2024

       

    Currently

    Scrolling on Linkedin

    Hacking away on Github

    Writing on ML and the Learning Problem

    Re-reading: Deep Learning for Cross-Domain Data Fusion in Urban Computing

    Projects

    Engineering and Research
    EconSim - Macroeconomic Simulation for Forecasting

    Building a system that combines simulation-driven reinforcement learning with time series forecasting to enable intelligent, future-aware decision-making in dynamic environments. The goal is to use economic data to drive a simulated environment in which an RL agent can be trained.

    Code

    Writing

    Speaking

    Coding

    Blue Github Chart

     

    Get in touch

    Have a question, an opportunity, or just want to say hello? Drop a message below, I'll get back to you as soon as I can.