As a Graduate Teaching Assistant for Software Engineering, did the following:. Designed and Graded graduate level assignments on fundamentals of Java and Kotlin.. Analyzed and graded student forum discussion and activity.. Mentored students during weekly office hours and helped debug complex Java and Kotlin code.

As a Software Engineer Intern, accomplished the following:. Reduced failing CI runs by 60% by building a Slack Webhook to notify developers of details of failing test cases.. Designed a pipeline to analyze notification logs in order to make architectural decisions for data storage options for the notification audit tool.. Automated failing notification enquiries by building a self-service notification audit tool using Ruby on Rails and ElasticSearch. . Upgraded risk monitoring process by building a risk alerts dashboard incorporting OpenStates and Outlook GraphQL APIs into existing process. . Participated in Greenlight for Girls and KyndKit initiatives to give back to the community.

As a Graduate Teaching Assistant for Introduction to GUI programming and Graphics, did the following:. Designed and Graded undergraduate level CS assignments in HTML/CSS and JavaScript.. Analyzed and Graded student projects made in the Unity game engine.. Mentored students during weekly office hours and helped with doubts regarding assignments and projects.. Recorded student's milestone progress and automated student's attendance based on milestone completion.

As an applications engineer intern and an analyst thereafter, accomplished the following.. Coordination of and Documentation for project handover from a different team.. Maintaining and enhancing the project handed over using Java EE, Spring, Hibernate, following Agile development model.. Integrating Okta Authentication, replacing legacy authentication APIs in different web apps.. Adding new snapshot reports to Portfolio Management System using Angular and Typescript.. Delivering presentation and demo on introduction to "Open Source Software" as part of internship project.

As a virtual research intern, accomplished the following:. Collaborating with Ph.D. scholars and PostDocs to design posters, presentations and, write and edit manuscripts.. Designed an image processing pipeline in Python using open cv2 to convert 3D sub-tomograms of viral cells to high-resolution and high-contrast 2D key frames.. Modified a RetinaNet model by finding out more accurate scale values for the tomogram dataset,. Trained and tested the RetinaNet model on different data sets to an accuracy of 94% for protein detection and localization in tomograms.. Used RetinaNet on XuLabs Mitochondria data set and provided better results than previous state-of-the-art, faster-RCNN.

As a backend development intern, accomplished the following:. Designed and wrote APIs for IIT-Kanpur's alumni relation platform's mobile application.. Designed database schemas for "Sahyog", Campus Haat's platform for NGOs to manage and monitor their aid programs.. Wrote APIs to facilitate on-campus product delivery for Campus Haat's hyperlocal e-commerce platform.. Streamlined algorithms for local covid cluster detection as part of "CoVid-19 Relief Plan Phase-II" of IIT-K.