1. Published a peer-reviewed paper on aspect-based sentiment detection in Nepali social media text, presented at the 2020 IEEE/ACM ASONAM 2020 Conference.2. Created the first annotated dataset for sentiment analysis in the Nepali language and developed a machine-learning model that achieved an 81.60% F1 score for sentiment polarity detection in a code-mixed dataset.3. Presented the research on Aspect-Based Sentiment Analysis at the Mid-Atlantic Student Colloquium on Speech, Language, and Learning 2020, showcasing the advancements and challenges in data analysis and sentiment analysis for low-resource languages.

Worked as a Teaching Assistant for the courses CMSC 411: Computer Architecture and CMSC 203: Discrete StructuresDuties included:1. Conducting office hours and doubt sessions for the course.2. Teaching special topics for the course.3. Grading homework assignments and projects.4. Assisting professor in advising, proctoring and administrative duties necessary for the course.

- Improved an existing logging application by adding the feature to log the internal and external ad bidder URLs which improved the debugging time by 80% in case of timeouts/failures.- Designed and developed REST APIs to provide a safer interface for database access. This replaced the existing approach of directly querying the database.- Automated existing manual process to create a software patch version release and post-release validation in Jira Workflow.- Technologies Used: Java, Spring Framework, Jira, AWS, Bamboo.

- Developed a pipeline to translate the output from El-MAVEN software to Elucidata’s Polly platform, providing users with additional input options and resulting in a 61% increase in the user base- Built a backend API to visualize mass-spectroscopy outputs using Python & R, allowing users a straightforward way to visualize and analyze data- Designed a standardized input data format for different applications running in the Polly platform- Gathered and analyzed user feedback from the Polly platform to resolve bugs and improve the user experience.

- Designed, developed, and deployed the back-end API for a clothing-based e-commerce website- Created an efficient database schema using Java and MySQL- Prioritized and fixed site-related design problems and took initiative to implement new features such as courier tracking and email security based on user feedback