This reference design is an active pass-band filter connected to the analog-to-digital converter (ADC) in a C2000™ microcontroller (MCU). The system senses ripple and noise on the power rail in the band of interest. The Fast-Fourier Transformation (FFT) algorithm analyzes the harmonic content of the signal and allows for switching frequency detection. The analysis enables adaptive real-time switching frequency dithering in high-power applications and better electromagnetic compatibility interference (EMI) control. Alternatively, ripple counters in feedback-less positioners can benefit the design. I designed & tested PCB layout and developed embedded-C firmware.

I automated information extraction for thousands of images using OpenCV. OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

Acted as Python ML researcher at Texas Instruments - developed and compared real-time data analysis models with Caffe Jacinto, Pytorch & Tensorflow. A convolutional neural network (CNN) approach is used to implement a level 2 autonomous vehicle by mapping pixels from the camera input to the steering commands. The network automatically learns the maximum variable features from the camera input, hence requires minimal human intervention.