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Ramesh Rangavittal
Director-level Engineering Manager specializing in embedded Wi-Fi networking and firmware
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Wi-Fi firmware engineer building a Linux host-based AI diagnostic agent that ingests TLV telemetry from firmware modules (scan/datapath/security/roam/low power) to detect anomalies and automatically push mitigations. Delivered measurable production impact (27% reduction in field issues) and improved performance by replacing netlink with shared memory (+30% kernel-layer improvement), while also driving customer-facing demos and instituting release-gating controls after a factory-line crash incident.
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Key Strengths
- Built firmware-to-host AI health-check system to detect abnormal Wi-Fi firmware behavior and auto-mitigate via reconfiguration
- Reduced field issues by 27% with first implementation of host-based AI agent
- Solved latency/scalability bottlenecks by moving from netlink sockets to shared memory (30% kernel-layer performance improvement)
- Strong concurrency/debugging skills in production systems (locks/mutexes/semaphores; added logging for visibility)
- Data-driven validation using repeatable testing on 100,000-sample dataset
- Owned ambiguous customer demo delivery by aligning on priority KPIs and shipping an 80%-complete demo with a 3-week extension
- Improved production reliability via process controls (release gating; restricted firmware distribution; org-wide policy change)
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