I’m a graduate student pursuing my masters in electrical and computer engineering with computer engineering being my major. I completed my thesis under Dr. Mohammed El-Sharkawy. I’m more enthusiastic about Machine learning, Embedded and Firmware Engineering. As a part of that, my research proposes RMNv2: Reduced Mobilenet V2, a lightweight model that can be easily deployed in resource-constrained devices like mobile and embedded devices. To Justify that, RMNv2 is successfully running in devices like NXP Bluebox 2.0 and NXP i.MX RT1060. I have worked on embedded devices like NXP Bluebox 2.0, NXP i.MX RT1060, NXP i.MX 8M, NXP Rapid IoT, NXP frdm-k64, Arduino uno and Raspberry pi etc.
Key Skills:
C/C++
Embedded C
Python
Matlab
R-Programming(Intermediate)