Shabarish Pala Ramakantha Setty

• Designed a tool in C, for inferencing the test data of alexnet algorithm. Tool is highly scalable and reusable that can be used to deploy other neural network algorithm like VGGnet and RESNET as well. • This algorithm is deployed as bare metal program on Zynq-7000 processing system for inferencing • Created IP core for a CNN kernel with TMMU and accelerated the neural network by integrating with processing system that reduced the inference time as compared on to running only in processing system

Optical Metrology • Developed a desktop application using C++ standard library for the application of surface measurement using Fringe Projection technique • Implemented functionality of capturing the image of an object continuously with multithreading with varied fringe images on it. • Integrated CMOS cameras to the tool with DirectShow filter

Hyper-parameter optimization of neural network for ECG data classification • Development of LSTN network model with hyperparameter band optimization for the classification of ECG signals among atrial fibrillation and sinus rhythm. • Model is optimized with hyper parameters, such as number of units and number of layers in the neural network • Created unit test suites for the model • Trained this model on CUDA GPU and Google Cloud AI platform

Test case planning and automation for software applications  Test case requirement, test case planning, debugging, test case automation and execution as per the software test-life cycle (STLC)  Automation of tasks in Selenium(JAVA) and Excel VBA

Control theory,Sensors and measurement systems,Robotics,Digital design

Analog electronics,Digital electronics,embedded design using VHDL