Neural Networks and Deep Learning: Helped and tutored over 100students about the fundamentals of Deep Learning such as multilayerperceptrons, convolutional neural networks, adversarial networks,recurrent neural networks and attention models.Algorithms and Data Structures: Helped and tutored more than 100 students about fundamental algorithms and data structures such as linked lists, stacks, queues, binary trees, BSTs and AVLs.

Participated in GANESH, a study group composed of more than 50 students that does research on information security, recent flaws in state-of-the-art products and services, and what can be done to protect against them.