Maneesh Ayi

Working at School of Engineering and Techno
Studying at Purdue school of Engineering
Living in United States

About

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)

Experience
Graduate Researcher: IoT Collaboratory Lab, IUPUI

Proposed RMNv2: Reduced Mobilenet V2 architecture for CIFAR10 dataset. It is an optimized version of Mobilenet V2 making it suitable to deploy in resource-constrained devices.

Real-time Implementation of RMNv2 Image Classifier in NXP Bluebox 2.0 and NXP i.MX RT1060 for applications such as Autonomous cars, Medical sciences etc.
Projects
1. Blind Mute Communicator

2. Constructing IEEE 802.11 using C++

3. Home Sensor system

4. Implementing YOLOV3 in Bluebox 2.0

5. Interfacing ofMATLAB and Arduino for face detection, tracking and recognition algorithm using serial communication

6. Temperature Monitoring System using S32K144EVB with CAN Protocol