Developed features for Shopify to NetSuite migration, automating the transfer of inventory data using Node.js and SuiteScript 2.0. Implemented data fetching from NetSuite and exposed this data to a REST API. Created a service for triggering email alerts and client's Netlify webhook when SKU stock falls below the threshold. Filtered on-hold orders from MongoDB for fulfillment. Automated data loading from the database to NetSuite using Azure ADF and complex stored procedures. Developed business inventory dashboards using ReactJS, Redux, and Material UI. Created a universal image component with ReactJS and Theme UI. Developed microservices using Spring Boot and Kafka. Extracted and analyzed data using Splunk and Grafana dashboards.

Created screens/CRUD apps for different products with different requirements. Contributed to developing a framework for minimizing errors and improving user experience by converting manual DB entries to entries through UI. Utilized ExtJs for frontend and Java, Spring, Struts2, Hibernate for backend development.

As a student intern under Samsung PRISM at Samsung R&D Institute India Bangalore (SRI-B), I focused on researching and evaluating various semantic segmentation techniques to determine the most effective methods. Additionally, I developed an innovative Gamma correction technique to enhance image quality. This role allowed me to deepen my knowledge of Python programming and apply advanced Deep Learning techniques, contributing to the improvement of image processing algorithms.