Academic Background & Research Philosophy
I earned PhD, M.Tech and B.E. from IIIT Bangalore, JNTUH and Osmania University respectively. My PhD dissertation focused on the hardware acceleration of Machine Learning (ML) algorithms for edge devices. This work addressed critical bottlenecks in running complex AI models on energy-constrained platforms, proposing novel architectures that optimize computational throughput and power efficiency.
My passion lies in:
Bridging theoretical advances in AI with practical hardware implementations.
Designing energy-efficient, scalable FPGA/ASIC solutions tailored to the unique constraints of embedded systems.
Enabling intelligent automation across diverse domains—from autonomous drones and robotics to precision agriculture and smart IoT devices.
Professional Experience
Over the past decade, I have cultivated a rich portfolio of research and development spanning academia, research institutes, and industry. My journey includes:
Senior Research Associate at IIIT Bangalore’s Machine Intelligence and Robotics Centre (MINRO), focusing on AI hardware architectures.
Research positions at IIIT Hyderabad and Universiti Malaysia Perlis (UniMAP), where I honed expertise in embedded AI and computer vision.
CTO and co-founder of EdgeRON, where I lead efforts to commercialize FPGA/ASIC technologies for AI acceleration.
Technical/Product Manager at SMR and IF&S, where I contributed in-depth for various communication products and their development besides handling a team of 10 members.