Sofiya is ...

I'm a fourth year Ph.D. student in the Computer Science and Engineering Department at the University at Buffalo. My research interests are in developing robust and reliant mobile, cyber-physical, and mixed criticality systems, particularly for robotics and computer vision applications.

In the summer of 2019, I interned at Google, where I developed a machine learning model to inform prefetching decisions on Chrome to decrease in user-perceived page load latency. Before starting the Ph.D. program, I was a software engineer at edX for a year, where I worked on all the layers of the "full stack" - from creating an entirely accessible essay-writing module in Javascript for keyboard-only users, to countless management commands and APIs in Python and Django, to running and analyzing A/B tests with Optimizely, to devops and system administration for VEDA, edX's video encoding and delivery pipeline.

I graduated from Brandeis University with a degree in computer science in 2017.



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