Saurabh Nagrecha is an engineering manager and applied researcher with 11 years of experience building machine learning systems to fight fraud, abuse, and optimize e-commerce search and monetization. He holds a PhD in Computer Science from Notre Dame and has led cross-functional teams deploying graph deep learning and semi-supervised frameworks at enterprise scale (graphs with tens of millions of nodes and hundreds of millions of edges). His background spans productionizing ML on Scala/Spark/AWS stacks, research collaborations (including NYU), and teaching network science as an adjunct faculty at Capital One Tech College. At Google and prior at Capital One and eBay, he focused on cost-sensitive, highly imbalanced problems such as AML detection and promoted listings ranking. Known for blending rigorous research with pragmatic engineering, he builds containerized, scalable services that translate graph and GCN research into operational defenses and monetization features. Based in Mountain View, he brings both academic depth and hands-on leadership to high-impact, adversarial ML problems.
11 years of coding experience
6 years of employment as a software developer
B Tech, Electrical Engineering, B Tech, Electrical Engineering at Indian Institute of Technology, Gandhinagar
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Notre Dame
Create an ARFF string from an existing pandas dataframe.
Contributions:19 commits, 2 PRs, 18 pushes in 3 years 3 months
data-analysispythonpolarsstringdataframes
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