I am a software engineer at Google, where I work on large-scale recommendation systems and ML modeling for users and videos.

Previously:

• Google (Ads): Worked on conversion modeling for privacy-centric Ads measurement.
• Tetration Analytics (acquired by Cisco): Built machine learning systems for cybersecurity, including scalable real-time anomaly detection, graph partitioning (AICS, AAAI 2022), and clustering.
• WalmartLabs: Worked on query suggestion, personalization, and multi-armed bandits for online marketing.

I earned my Ph.D. in Computer Science from the University of Minnesota, advised by Prof. Yousef Saad. My doctoral research focused on numerical linear algebra and optimization methods for matrix completion (NeurIPS 2012) and dimensionality reduction (SIMAX 2010), as well as applied machine learning in scientific domains—including data mining for materials science (Physical Review B 2012) and protein sequence alignment (GENSIPS 2009).