Sara Aghajanzadeh is a research-focused computer engineer with nine years of experience bridging academia and hands-on systems work, currently pursuing a PhD in Computer Science at UIUC after earning an MS and BS from Purdue. Her research centers on efficient deep learning computation and privacy-preserving demographic analytics, building on prior work that automated discovery and real-time analysis of global public camera imagery at massive scale. She has taught database systems, computational photography, and object-oriented programming, combining pedagogy with practical mentoring and grading experience. Comfortable in both research and engineering roles, she repeatedly translates privacy and security concerns into scalable analytics pipelines and tooling. Notably, her background includes designing systems capable of processing on the order of a billion images in a day, reflecting an uncommon focus on high-throughput, privacy-aware vision workloads.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Purdue University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Illinois Urbana-Champaign
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