• Decoupled Angular-specific injections in the codebase, enabling a more modular and flexible architecture that led to asmoother transition to the REACT framework for the Ordr AI-powered product• Built configurable interfaces for third-party services (CrowdStrike, AWS, Google Cloud Platform, Cisco Prime, Microsoft AD, etc.) and enabled real-time WebSocket communications to synchronize the data to the backend• Implemented filtering and sorting capabilities to manage large datasets, including enabling dynamic filtering enhancing data navigation and searchability• Developed user features such as dropdowns, checkboxes, and color customization options to enhance the product's interactivity and user experience• Utilized URL parsing and dynamic routing to implement dynamic URL-based Navigation• Provided technical support for customer-facing frontend software issues

• Worked on multiple User Interface features such as a CSV Data Export and enhanced the Data Filtering logic.• Adapted by learning and utilizing JavaScript for new code development and WebSocket for debugging.• Familiarized with the very robust Ordr Network Security Platform in a timely manner.

• Worked on a research project that examines how Amazon's new surveillance technologies are changing work.• Recruited interview candidates through different social media platforms and coordinated interviews.

• Worked on a research project that digitizes historical documents that are used to study basic inequality.• Entered and cleaned data contained in five historical volumes of the Census of Religious Bodies.

• Worked 6 hours a week as a staff member of the Tech Help Desk at Computing and Educational Technology Services (CETS).• Provided technical support to students, faculty and staff of Penn Engineering.

• Worked 14 hours a week at Van Pelt, University of Pennsylvania's main library.• Completed shifts at the the circulation desk, scanning room, retrievals department and dorm delivery department.

• Constructed dashboards for the company’s Human Resources team using Microsoft Power BI.• Utilized Azure databases and DAX to get impactful insights from employee data.• Developed dynamic services for the company’s Business Intelligence team under a Scrum framework.

• Worked on the Corpus of Annotated Multilingual Images for Optical Character Recognition (CAMIO) project. • Conducted extensive research to collect textual data to support the development & evaluation of OCR & related technologies.• Performed text localization and annotation on machine-printed images in collaboration with various teams.

• Utilized Natural Language Processing (Python) to perform clustering, hierarchical analysis, and sentiment analysis on customer travel reviews on TravelBox.