Vincent Saulys

I am currently in Risk Analysis at Bank of New York Mellon where I’ve built metrics and tackled finding best paths of remediation for server vulnerability reduction around the ~13k machines that power custodian banking operations. These analyses and reports have been presented to the C-level staff and board.

My past experience includes two venture backed startups, Team Captain at the McGill Hyperloop, and a stint as a research assistant. I built machine learning models for recognizing emotion based on physiological data from wearables while at SensAura Tech (now defunct), which gave me exposure to technologies such as CUDA, Keras, Theano, and Tensorflow. I was also the first software engineer at AON3D, who were accepted into the Y Combinator Class of 2017 while I worked there. As the captain of the McGill Hyperloop, I lead my team to a successful acceptance as one of ~40 teams invited out to present to SpaceX and Tesla engineers (our presentation slide deck is on the profile). My work as a research assistant had me finding Steinmetz equations for electrical steels using genetic algorithms, which is an unusual application of machine learning.

I am a graudate of McGill University, completing my Bachelor’s of Engineering in May of 2017. I am currently enrolled as a Masters of Science graduate student at Columbia University in their Applied Analytics program.

I’m interested in that funny intersection of statistics meets business meets software engineering. I love self-directed challenges where the path forward is sometimes not so clear and involves some soft of discovery and planning. This likely comes out of my work at startups and in McGill Hyperloop where the problem set was clearly defined but the first step rarely was.

Always open for a chat, feel free to drop me a line. I am authorized to work anywhere in the United States. I’m best reached at [email protected].