Portfolio

ARMED & AIMED

Published:

AxMED: Automatic (Random / Intelligent) Malware Modifications to Evade Detection. This works focuses on exploring further automatic adversarial perturbations on Microsoft Windows Portable Executable software.

Predicting H-1B visa eligibility in the US

Published:

This projects aims to train a classifier, based on a dataset provided by the US Department of Labor, to be able to predict whether a visa request would be granted eligibility to the H-1B program. This is the Capstone Project for Udacity’s Machine Learning Engineer Nanodegree.