Sai Kaushik Ponnekanti is a seasoned Software Engineer with over 10 years of experience in designing and building large-scale distributed systems. Currently at Meta, he spearheads end-to-end monitoring systems for ML Clean Room projects and leads implementation of compliance checks across data and AI assets.
Previously at Google, Sai led blockchain data ingestion for the Cloud Web3 team and significantly improved platform performance for AppSheet, achieving a 27% increase in responsiveness. During his tenure at Walmart Labs, he converted an expensive sessionized mapping to a server-side pipeline, resulting in a 34% increase in site loading time for Walmart.com, and successfully handled 1.2 million requests per second during peak traffic periods.
As Lead Software Engineer at Drawbridge Inc, Sai led development of AdTech products using Spark and helped make the company GDPR compliant in just three weeks. He has consistently improved system performance throughout his career, often reducing pipeline runtimes by 50-75% through optimization techniques.
Sai holds a Master's in Computer Science from the University of Southern California and a Bachelor's in Computer Science from BITS Pilani, India. His expertise spans Hadoop, MapReduce, Kafka, Spark Streaming, Hive, Pig, Giraph, Oozie, and Apache Beam, with a proven track record of handling petabytes of data across various industries.