Vinitha Gankidi is a Senior Engineering Manager in Sunnyvale with 10 years of experience building the infrastructure that powers AI and analytics at scale. At Apple she leads GenAI platform efforts for embeddings, feature management, inference, and evaluation, and previously launched a cloud-agnostic Lakehouse with Kubernetes-based compute and petabyte-scale interactive analytics. Her background includes designing exabyte-scale data platforms at Netflix and scaling HDFS and recommendation-system infrastructure at LinkedIn, grounded in research on distributed indexing and query optimization from UW–Madison. She excels at turning 0→1 initiatives into resilient, governance-aware platforms that enable enterprise-wide AI adoption, and she brings hands-on experience shipping performance, cost, and security improvements across large organizations. An often-overlooked strength is her mix of academic rigor and production engineering—patented research has influenced the systems she later operationalized.
10 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.), Computer Science, Master of Science (M.S.), Computer Science at University of Wisconsin-Madison
BTech, Computer Science, BTech, Computer Science at National Institute of Technology, Tiruchirappalli
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Vinitha Gankidi - Senior Engineering Manager at Apple