Machine Learning Engineer with experience working on a range of classification and optimisation problems,
e.g. payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection.
I'm at home in the following domains as well: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar.
Ivy league education (if that helps) was heavily game theoretic based so I can't claim GANS as one of my areas of expertise - I'm rapidly gaining. So no fear.
tldr: I'm able to develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models.
I'll probably work in python and tensorflow for the sake of speed.
Oh one more thing, in a prior life I was a full-stack consultant (angular on top) as well as a mobile (ionic) developer. Golang, Typescript, Coffeescript, prefer SASS over LESS. AM I doing this right? :)