Published books

At 3:17 in the morning, Arjun receives his forty-seventh rejection.
He makes oats. He reads the email eleven times. He opens a tab.
Arjun is thirty-four years old, and has spent a decade at an unnamed British university teaching fifty-two courses, renewing his visa six times, and developing — alone, at night, on a single-board computer he built himself — a mathematical framework that may fundamentally change how neural networks are understood. His work is grounded in Chebyshev spectral theory, port-Hamiltonian systems, and thermodynamic entropy bounds. It is rigorous. It is correct. Nobody in the field has looked at it.…