Dan Kibiwott

Dan Biwott builds machine learning systems at the bleeding edge of signal and noise. With roots in academia and eyes on real-world impact, his models don’t just predict — they adapt, learn, and survive.
Based in Cambridge, Dan operates from the shadows of the Hidden Layer Village — a digital alley where gradient flows meet cybernetic instinct. Whether it’s forecasting volatile markets or deploying ensemble agents into production, his code reads like a tactical dossier and hits like a plasma bolt.
Welcome to the neural underworld. Jack in, stay sharp, and never trust a silent model.

👋 Hi, I’m Dan Kibiwott, a computer science researcher and machine learning developer. This blog is where I document my experiments, projects, and ideas — with a strong focus on:

  • Machine Learning & Forecasting Models
  • Ensemble Methods (SVR, MLP, and beyond)
  • Python pipelines and automation
  • Real-world applications like forex prediction

🕸️ Why this blog?

I believe in building publicly — both to improve my craft and to contribute back to the ML community. I publish:

  • Deep dives into ML model choices and data strategies
  • Lessons from building trading tools
  • Code walkthroughs and reproducible examples

📬 Want to connect?

  • 📍 Cambridge, UK
  • 💼 GitHub
  • 📨 Email
  • 🧠 Always learning, always building.