Shikib Mehri

As a scientist intern on the Alexa Conversational AI team, I was mentored by Dilek Hakkani-Tur and Mihail Eric. Two papers on the way with SOTA results 5 dialog tasks (including big gains on MultiWOZ + intent prediction).

As a scientist intern on the Alexa AI team, I developed novel approaches for conversational speech recognition, yielding significant improvements in both quantitative and qualitative evaluation. A publication is in the works.

Teaching assistant for Multi-Modal Deep Learning. Assisted with the design/development of assignments, as well as general TA duties. One of few undergraduates to ever TA a graduate class.

On the Machine Translation team, I worked on the implementation of a number of subword Neural Machine Translation models to ultimately improve post and comment translation on Facebook.

Worked with Prof. Giuseppe Carenini on the problem of thread disentanglement in multiparticipant chats. My approach employed novel strategies (including leveraging a weakly-supervised LSTM classifier) to attain state of the art results. I presented a publication at IJCNLP 2017.

On the Ads Targeting Modeling team, I worked on generating/evaluating user-interest mappings. I also constructed an incredibly accurate classification model to predict the correct categorization of a given interest.

Implemented functionality to detect incorrectly configured network switches and to change the assignment strategies for linerate capable ports in order to decrease downtime.

One of 20 students to attend this rigorous, highly-accelerated program that condenses five years of highschool into two. I completed the program at the age of 14, leading to an early entrance to university.