Neil Mehta
I'm a full stack engineer specializing in machine learning and neural networks. I enjoy solving problems that reward thinking carefully before writing a single line of code, especially in today's AI-native landscape.
From first principles.
I studied Computer Science and Mathematics at the University of Toronto, as a double major. My work since has been varied from ML engineer to data scientist to now working full-stack, including ML and AI development at KOHO.
Much of the work is taking a problem that arrives ambiguously defined and completing it to a state someone can actually use, regardless of domain.
Away from the desk I follow soccer and Formula 1 through most of the season, and rarely travel without a camera. I also enjoy reading in my spare time. Staying curious keeps me adaptable and genuinely excited about what's ahead.
Life in frames
Where I've worked
Projects & writing
GouGAN
A generative adversarial network trained to translate real-world landscapes into stylized paintings using domain-adaptive deep learning techniques.
Actimons
A product design and research project exploring habit formation through interactive digital companions.
Mastering Routes
An exploration of the Travelling Salesman Problem through graph theory and combinatorial optimization approaches.
Mathematical Undecidability
An essay on Gödel's incompleteness theorems and the limits of formal systems in computability theory.
Let's build
something.
The inbox is open — for work, for questions, or for no reason at all. I reply quickly.