Jun 2020 – Aug 2020 · 2 mos · Logan, Utah, United States

• Developed a new regularization technique that helps improve the performance and reduce the training time
• Generated the proximity matrix from the trained random forest
• Converted the matrix to low dimensions using Multi-Dimensional Scaling and PHATE
• Trained a neural network by using an additional loss term obtained from low dimension and activations
• Achieved some good results on the MNIST dataset and worked on generalizing the method on other datasets of CIFAR-10, Breast Cancer, Glass

Jan 2020 – Aug 2021 · 1 yr 7 mos · Logan, Utah, United States

• EBM extracts valuable information on honeybee colonies without invasive hive inspections and transportation costs
• The goal is to improve the classification performance using Random Forests in comparison with the Shallow Neural Networks when deployed onto a Raspberry Pi 4
• Developed a Reinforcement Learning algorithm (Q-Learning) on a set of Decision Trees trained on various geometric regions of the image dataset, to find the best performing Random Forest
• Trained various baseline models for comparison using image processing techniques like Histogram of Oriented Gradients (HOG), Edge Detection, Grayscale Images and classifying them using CNNs, Random Forest and SVMs

Jan 2020 – May 2021 · 1 yr 4 mos · Logan, Utah, United States

• Teaching Assistant for "Scientific Computing with Python" (Spring 2020, Spring 2021) and "Intelligent Systems" (Fall 2021)
• Grading and Assisting students with Python Programming, Machine Learning, and Natural Language Processing Assignments and Examinations

Dec 2017 – Jul 2019 · 1 yr 7 mos · Hyderabad, Telangana, India

• Worked on a Real-Time Inventory web application built for a seamless vehicle configuration and purchasing experience for the customer by providing 100% transparency on the product inventory and vehicle pricing
• Developed Product Inventory, Dealer Add-Ons, and Pricing Engine webpages using Angular 5 and Angular Material
• Leveraged “RxJS” and “NgRx” libraries to implement reactive programming paradigm and state management
• Wrote comprehensive unit tests using Jasmine and Karma for an end-to-end functionality testing
• Maintained Version Control using Git and Bitbucket, and Performed CI/CD operations using Jenkins
• Gathered and Evaluated requirements following Agile SDLC methodologies like sprint planning, scrum meetings, etc

Jan 2016 – Jun 2016 · 5 mos · Gurugram, Haryana, India

• Worked in Engine Auxiliary Department of the Engineering Division
• Goals achieved during my Internship are:
• 1. Study on increasing the service life of an engine coolant
• 2. Resolution of a quality problem "Noise in the ring seal of the exhaust system"