About me

I am a Senior Lead Software Engineer at Qualcomm with 6+ year of experience of ADAS AI Engineer. I validate and design end-to-end Automotive embedded AI SW stack to run Neural Networks Models on Qualcomm's AI Accelerator and on chip NSP with RTOS OS QNX, LA. I have a Master of Technology degree in Information Technology from National Institute of Technology Karnataka, and a Bachelor of Technology degree in Computer Science from LPU. My core competencies include Advanced Driver-Assistance Systems ( ADAS ), C, Python, and Deep Learning. In my current role, I have worked on various optimizations to improve runtime latency and overall network performance of the AI network on the AI accelerator. I have also contributed to the Functional Safety of Deep Neural Networks in autonomous driving cars, following the ISO26262 standards. I am passionate about developing innovative and reliable solutions for the automotive industry, and I enjoy collaborating with my team and other stakeholders to deliver high-quality products. I have published a paper on aerial surveillance using edge computing and Deep Learning as well as Object detection technique in low light in Springer, and I am researching in the field of object detection and in low light condition for automotive. I value learning new skills and technologies, and I believe I can bring diverse perspectives and experiences to the team, as I have worked in different domains and environments.