As an enthusiastic undergraduate pursuing a degree in Computer
Engineering,
I am embarking on a dynamic journey of continuous learning, profound
growth, and
groundbreaking innovation. Fueled by a fervent passion for technology, I
am a self-driven
individual who approaches challenges with determination and curiosity. I
am driven to make
new discoveries and advancements in both the realms of software and
hardware, while also
exploring the seamless integration between the two. With an eagerness to
create a positive
impact on the world, I am committed to pushing the boundaries of
innovation.
Developed and integrated a comprehensive firmware solution for the
NVIDIA Jetson Nano platform, combining both CPU-based Linux kernel
modules and GPU-accelerated CUDA kernels to carry out image
processing algorithms on .ppm image format files.
Created a real-time Arduino Weather Station for monitoring and
displaying environmental conditions using sensors and digital signal
processing.
Created a powerful image recognition system using Python, TensorFlow,
and Keras, featuring a refined convolutional neural network (CNN) for
precise classification on the CIFAR-10 dataset, complemented by an
intuitive Flask-based web interface that seamlessly allows users to
upload images for real-time predictions.
Developed a gesture-controlled LED system using Python-based
Raspberry Pi firmware, a React Native mobile app for gesture
recognition, and a Rust-based API, enabling real-time communication and
responsive control of individually addressable RGB LED light strips.
.
An intricate circuit employing a precise combination of resistors,
capacitors, transistors, op-amps, and more to craft a high-performance
microphone with exceptional audio quality.
Binary LED Display with Arduino: Create a binary LED display with
Arduino that visually represents numbers between 0 and 15 using
LEDs.
Signal Filtering with SciPy: Python script for generating and
visualizing original and filtered sine waves using a Butterworth
low-pass filter.