Benedict Anokye-Davies

CS & AI Student

Building systems at the intersection of software engineering, quant finance, and machine learning.

About

I'm a computer science student at the University of Nottingham, specializing in AI. I build systems that sit at the intersection of software engineering, quantitative finance, and machine learning. My recent work focuses on real-time signal processing for decentralized markets and autonomous agent orchestration.

I'm a Sutton Trust programme alumni and I'm currently looking for quantitative development and software engineering internships.

Experience

  • 2025 — Present

    Computer Science with AI
    University of Nottingham

  • 2025

    Freelance Development

  • 2024

    Programme Alumni
    Sutton Trust

  • 2023

    SQL Team
    SUEZ

Projects

  • Vex

    Real-time smart money tracking engine for Solana. Monitors alpha wallet activity across the chain, scores tokens through multi-factor analysis, and manages risk through conviction-based position sizing.

    • Python
    • Helius API
    • asyncio
    • SQLite

  • Atlas

    Autonomous AI assistant that orchestrates multiple language models, manages memory across sessions, monitors infrastructure, and executes tasks without human intervention. Built on OpenClaw with Discord integration.

    • Python
    • ChromaDB
    • Discord API

  • Kalshi Bot

    Production-deployed prediction market bot trading sports markets with real capital. Automated scanning, odds evaluation, order placement, and stop-loss management on Linux VPS.

    • Python
    • Kalshi API
    • systemd