Software Development Engineer
Current• Integrated Bluetooth metrics into Echo devices by implementing metric APIs in C and creating data visualizations in AWS Quicksight to assess and monitor device performance and health. Conducted a comprehensive trend analysis by creating a presentation deck, identified areas for enhancement, and presented key findings to C-level executives, setting a benchmark for other components.• Optimized the Bluetooth Middleware codebase by introducing a caching mechanism utilizing linked lists in C during Bluetooth discovery. This created an efficient storage and retrieval of device metadata.• Executed a cost optimization analysis for each device family, strategically disabling Bluetooth metrics during pipeline migration, resulting in a 75% reduction in costs - from $3.9k to $1k per month.• Achieved a 60% reduction in memory footprint by modularizing APIs based on functionality, implementing API group selection based on vendor needs, and maintaining backward compatibility through version control.• STO (Single Threaded Owner) of Amazon’s Bluetooth Device Porting Kit (DPK) Test Suite which aims to ensure seamless integration of BT Middleware API with Amazon SDK across multiple silicon vendors and stack.• Designed and developed automated DPK tests in Python and executable CLIs in C, simulating Bluetooth profile behaviors between devices and Raspberry Pi (RPI) to achieve 100% API and callback coverage.• Improve vendor experiences by creating release notes from vendor feedback, designing setup guides for devices and RPI, and enhancing DPK Test Suites to support new Bluetooth profiles.• Develop a React/Node.js web application for an interactive and collaborative log analysis that displays a topological visualization of client-server transactions for easier detection of patterns and debugging of errors.