Advanced Technology Group - Inclusive AI Lead● Led the adoption of skin tone and body type diversification on Related Pins in collaboration with the Close up team, leading to 4x and 6x improvement in diversity metrics on that surface respectively .● Pioneered the adoption of skin tone diversification on Related Products, leading to 270% increase in diversity on the surface. Further improvements on the diversification technique used also led to high single digit stat sig engagement gains on Related Products.● Led multiple infra-related projects on Related Products, from the adoption of a new logging optimization framework to the implementation of a new ML feature store, leading to millions of dollars on savings year-over-year.

ICS 31 Introduction to Programming - Fall 2018, Winter 2019, Summer 2019, Fall 2019ICS 51 Introductory Computer Organization - Fall 2016, Fall 2017, Winter 2018

● Launched experiments with new features and models that improved positive engagement on Homefeed.● Built several tools to better understand and analyze user behavior, focused on negative events.● Collaborated with the Spam Team to help detect suspicious user activity.

● Built the first deep learning models used by the company, achieving state-of-the-art accuracy for keyword spotting.● Created methodologies to automatically extract features from datasets to train Neural Networks.● Collaborated with the hardware team to build robust models suitable to work in restricted environments.

● Developed a novel system to include the icons present in PE files in the process of Malware detection, using Machine Learning (Patented).● Incorporated state of the art Deep Learning techniques to automatically extract features from the images.● Expanded knowledge on the use of techniques that combine unsupervised and supervised learning.

● Developed Machine Learning models included in the process of testing and evaluation of the production model.● Implemented Machine Learning Ensemble techniques that were later incorporated into the cloud's model.● Experimented with Machine Learning novel approaches in order to better capture the underlying characteristics of the data available at the company.

● Created an HTML network map solution to facilitate network maintenance.● Helped in the implementation of one-on-one devices for over 700 students.● Assisted in the general maintenance of desktop hardware and software.