Karan Kamatgi is a Principal Software Engineer based in California with eight years of experience building performance tooling and cloud-native workloads, currently leading platform-focused engineering at Ampere. He holds an MS in Computer Science from Indiana University Bloomington and spent much of his career at Intel developing telemetry-driven performance tools (PerfSpect, Similarity Analyzer, svr-info) and benchmarking suites across Databases, SPEC, FIO, ML, and media workloads. Karan combines low-level Linux perf and eBPF expertise with higher-level ETL and observability stacks (Kafka, Pinot, Presto, Flink, Grafana) to detect and resolve performance and power bottlenecks in data-center software. He has collaborated directly with Xeon architects to translate benchmarking data into actionable CPU and system design feedback, and has explored serverless runtime tradeoffs across major cloud providers. Comfortable bridging research and production, he also applied ML models to workload characterization—an underappreciated thread that connects his systems-first approach to data-driven optimization.
8 years of coding experience
9 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Indiana University Bloomington
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Karan Kamatgi - Principal Software Engineer at Ampere