Benedict Anokye-Davies

Benedict Anokye-Davies

CS & AI Student

Building projects at the intersection of software engineering, quantitative finance, and AI.

About

I'm a first-year Computer Science and AI student at the University of Nottingham and a Sutton Trust STEM Scholar. I build projects that go beyond coursework: trading systems, evolutionary simulations, and tools for real clients.

Currently seeking software engineering and quantitative development internships where I can contribute to production systems and learn from experienced engineers.

Experience

  • 2025 — Present

    Computer Science with AI
    University of Nottingham

    First-class result in Assembly Language Programming. Studying algorithms, data structures, databases, AI fundamentals, and mathematics for computer science. Building trading systems and simulations as personal projects alongside coursework.

  • 2023 — Present

    STEM Scholar
    Sutton Trust

    Selected for national programme supporting high-potential students from low-income backgrounds into STEM careers. Ongoing mentoring, career development, and alumni network.

  • 2023

    IT Department
    SUEZ

    Assisted the SQL data team with operational tasks including query writing and database maintenance. Gained practical exposure to enterprise data workflows and team-based development processes.

Projects

  • Morphogen

    Interactive ecosystem simulation where organisms evolve through natural selection. 12-trait genome system drives emergent behaviours including predation, herding, camouflage, and parasitism. Species form and diverge without hardcoded rules. Phylogenetic tree tracks evolutionary lineage across generations.

    • TypeScript
    • HTML5 Canvas

  • Vex

    Real-time signal engine that evaluates new token launches on Solana using on-chain data and multi-factor scoring. Deployed on Linux VPS with systemd, CI pipeline with 43 automated tests, Docker containerisation, and automated rollback scripts.

    • Python
    • asyncio
    • pytest
    • GitHub Actions
    • Docker

  • Forex Trading Bot

    Automated forex trading system with dual-strategy architecture and built-in risk management. Backtested across 437 trades over 12 months. Deployed on VPS with real-time alerting and connected to a live broker API.

    • Python
    • OANDA API
    • systemd

  • Prediction Market Bot

    Managed deployment, testing, and live operations for a prediction market trading bot built for a client. Identified and resolved 67 bugs. Handled VPS monitoring, production incident response, client communication, and strategy configuration.

    • Python
    • Linux
    • systemd

Skills

Languages

  • Python
  • TypeScript
  • Java
  • C
  • ARM Assembly
  • SQL
  • HTML/CSS

Tools & Frameworks

  • asyncio
  • pytest
  • GitHub Actions

Infrastructure

  • Linux
  • systemd
  • Docker
  • Git
  • CI/CD
  • SSH

Data

  • SQLite
  • PostgreSQL