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.