Who Am I?

I am a researcher and machine learning practitioner who deals with distributed data processing tools to develop data pipelines and train machine learning models at scale, gathering feedback on them from users from all over the world through Randomized Controlled Trials.

I frequently take the lead in conceiving and implementing new ideas, as well as improving current solutions in the pursuit of a better customer experience.

The exposure to a large scale commercial environment has greatly shaped how I attack a business problem with a Machine Learning approach, considering aspects such as large scale training and serving, training/serving skew, latency optimization, feature productionization, online learning, experimentation, bias, business metrics optimization and tradeoffs.