Education

Arizona State University, USA

My research focused on training computer vision based model with limited supervision labels using novel techniques in the field of Domain adaptation, Self-supervised learning, Semi-supervised learning, Regularization etc.

GPA: 4.0/4.0

Dissertation: Making the Best of What We Have: Novel Strategies for Training Neural Networks under Restricted Labeling Information

Highlights:

• Published a total of 8 papers and 2 patents.
• Completed 3 internships in 2 different companies.
• Collaborated with Biomedical Informatics, Business, and Civil Engineering schools.
• Helped design graduate and undergraduate level Intro to Deep Learning course for Computer Science and Civil Engineering Schools.
• Taught multiple lectures on different machine learning topics like Generative Adversarial Networks (GAN), Coding with Numpy and Scikit-learn etc.

Arizona State University, USA

My thesis focused on building a novel hybrid convolutional neural network (CNN) by fusing features from multiple domains to achieve better classification. I also created a real-time system that detects a face and classifies into one of expressions using the trained model.

GPA: 3.9/4.0

Thesis: An Investigation into Modern Facial Expressions Recognition by a Computer

Highlights:

• Submitted my first research paper.
• 6 out of 8 completed courses were related to Machine Learning.
• Built and trained a Convolutional Neural Networks on MNIST from scratch using Python and Numpy.

VIT University, India

Completed undergraduate studies in Computer Science.

Key Courses:

• Data Structures and Algorithms
• Database Management Systems
• Object-Oriented Programming