About

I am currently a Machine Learning Engineer at Kore Geosystems, working on data-related projects and software products that aid geologists and geotechnical engineers to be more efficient and consistent.
In 2018, I worked as a Project Associate, Artificial Intelligence in the innovation group at Barrick Gold Corp, investigating how new technologies in robotics and machine learning can transform the mining industry.
Between 2015 and 2017, I was a Graduate Research Assistant during my master’s program at University of Waterloo. The focus of my research was on nonlinear control theory applied to robot manipulators in order to create human-like natural motions.
Between 2014 and 2015, in my last couple of years as a undergraduate student at Cornell University, I served as a Research Assistant, analyzing fuel droplet combustion in zero-gravity conditions and intelligent control of data center cooling systems.
In the summers of 2013 and 2014, I interned as a Mechanical Engineer at Sensata Technologies, a major supplier of sensors to the automotive industry. Projects that I worked on include integration of new sensors, design improvement for better manufacturability, and failure analysis.

M.A.Sc degree in Mechanical Engineering from University of Waterloo (2017), specializing in control for robotics
B.S. degree in Mechanical Engineering from Cornell University (2015)