About

I am currently a machine learning engineer at Gridmatic.

Previously, I was a machine learning engineer at Revolut where I developed and productionised Gaussian processes for time-series forecasting, transformer-based NLP models for customer support automation, and LSTM-based models for user personalisation.

I completed my MSc. in Computational Statistics and Machine Learning (CSML) at University College London, working on generalised variational inference for Gaussian processes with Jeremias Knoblauch in the Department of Statistical Science. Before that, I completed my BASc. in Engineering Science at the University of Toronto with a specialisation in robotics.

My research interests lie in the areas of uncertainty quantification and variational inference.

Download my CV here.