Anisha Reddy is a software engineer with 11 years of experience building large-scale data and infrastructure systems, currently focused on Ads ML infrastructure at Meta in the San Francisco Bay Area. She brings deep expertise in big data technologies—Hadoop, HBase, Kafka, Spark and NoSQL—and a track record of designing real-time pipelines, anomaly detection, and monitoring platforms that reduce cluster downtime. Prior roles at MapR involved end-to-end product development on the MapR Converged Data Platform, where she built tooling to surface latency shifts and operational issues for production clusters. Mentored by executives at Facebook and holding an MS in Computer Science from Cornell, she pairs strong technical depth with disciplined self-organization under pressure. Colleagues describe her as outcome-driven and pragmatic, comfortable translating operational needs into resilient, production-grade systems.
11 years of coding experience
6 years of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at Visvesvaraya Technological University
Master's Degree Computer Science, Master's Degree Computer Science at Cornell University
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