Jumana Mundichipparakkal is a Principal Systems Architect specializing in SoC and platform telemetry with nine years of experience designing performance analysis methodologies for Arm IP-based platforms. She leads the architecture and delivery of Arm’s telemetry solution, including the top-down CPU performance methodology for A-class processors, and manages cross-functional teams of hardware, software and tooling engineers. Her background spans device-level workload characterization, cloud infrastructure performance for Big Data and ML, and early-career work building high-speed DSP simulators at Intel, giving her a rare full-stack view from silicon counters to system software. Jumana combines technical leadership with program-building experience—she co-launched a Women@Arm mentorship program—demonstrating a commitment to both technical excellence and talent development. Based in Cambridge, she contributes to device performance tooling publicly via GitHub and often blends modeling, benchmarking and hands-on optimization to uncover non-obvious system bottlenecks.
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