Harsh Varshney is a software engineer with 8 years of experience building large-scale, data-intensive systems and is currently pursuing a Master's in Software Engineering at Carnegie Mellon while working on Google's Privacy Sandbox. He has driven high-impact projects across cloud and fintech domains—from architecting a distributed in-memory database at Splunk that handled billions of metric time series to redesigning Redshift migration workflows at AWS for up to 80% performance gains. Harsh combines systems and algorithms expertise with hands-on product delivery, having launched multi-region services, created recovery mechanisms that reduced failures to near zero, and improved onboarding and payments pipelines that scaled to millions of users. He also has startup experience leading backend architecture and a knack for pragmatic fixes—like a correction pipeline that repaired ~1M invalid data points per day. Based in New York, he pairs rigorous academic training from CMU and BITS Pilani with practical cloud-native and serverless design skills useful for privacy-preserving, scalable platforms.
8 years of coding experience
5 years of employment as a software developer
Business Administration and Management General, Business Administration and Management General at Stanford University Graduate School of Business
BITS Pilani, Birla Institute of Technology and Science
Master's degree Computer Software Engineering, Master's degree Computer Software Engineering at Carnegie Mellon University
Contributions:25 PRs, 16 pushes, 14 branches in 6 days
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