I am a Master in Computer Science graduate student at Georgia Institute of Technology,
Atlanta. Having an interest in Software Engineering and applications of
Machine Learning in the real world, I am specializing in Machine Learning and Interactive
Intelligence. I hold a Bachelor's degree in Computer Engineering from the University of
Mumbai, India.
As a skilled Software Engineer, I have a strong academic background and 2 years of practical
experience in developing innovative solutions.
I am passionate about using the latest technologies to solve complex problems and drive
innovation. I enjoy exploring new frontiers in machine learning and artificial intelligence
and thrive in collaborative environments. I am always eager to learn and apply my knowledge
to create impactful solutions.
I have a strong foundation in Java, Python, and JavaScript programming languages. I am
familiar with frameworks like Flask, Angular, and Spring Boot. I have experience using
machine learning libraries such as Keras, TensorFlow, and PyTorch, as well as tools like
JIRA, Jenkins, Docker, and Git.
Developed a Convolutional Neural Network Model using Transfer Learning and Contrast Enhancement
techniques like Contrast Limited Adaptive Histogram Equalization (CLAHE) and Morphological
Transformations to detect COVID-19 from Chest X-Ray Images.
Developed a system to detect social distance violations from crowded places using Convolutional
Neural Networks - YOLOv5 and FRCNN along with Image Transformation Techniques.
Tools and Technologies:
Python, Keras, OpenCV
July 2020
Candidate Tracker
Candidate Tracker is a web applicaton that can be used for candidate recruitment process in an
organization end to end. It allows creating profiles of candidates, filtering candidates
according to skills and other criteria, allows to upload resume, schedule interview on Google
Meet and provide dashboard for various statistics.
Developed a web application to assist in composing application letters by automatically
generating text from input keywords and phrases. The system makes uses of a Recurrent Neural
Network Model and various Natural Language Processing techniques like Keyword Extraction,
Information Retrival, Named Entity Recognition, Sentence Completion and Grammar Correction.
EducatAR is an Augmented Reality Android Application that spawns 3D models and videos from 2D
diagrams of the human body for better visualization and understanding.
Developed an Android Application that displays heart rate in Beats Per Minute (BPM) using device
camera and flashlight based on the intensity of red pixels.
Kabra R., Solsi R., Jaiswal S., Sankhe S., Daiya V. (2022) Automated
Content Generation System Using Neural Text Generation. In: Jacob I.J.,
Kolandapalayam Shanmugam S., Bestak R. (eds) Data Intelligence and Cognitive Informatics.
Algorithms for Intelligent Systems. Springer, Singapore.
https://doi.org/10.1007/978-981-16-6460-1_63
