Working with companies for blending AI with embedded systems specifically to enable AI on edge devices including device ecosystem.

Architect Docker based ML training framework and led the team for bug free releases Led Machine Learning COE team and completed 9 projects successfully based on edge devices and cloud services Worked on different DL model architectures and customized them for small footprint edge FPGA devices with techniques like quantization and pruning Worked on OpenWRT firmware customization for mobility solution

Worked as developer in critical 32-bit Tensilica core based audio processor firmware development project Implemented multi radio feature for mesh networks in Linux kernel and improved HWMP to get 7% throughput increment Contributed in several projects as individual contributor