◦ Used AWS S3, AWS Glue, Apache Spark and AWS RDS to build ETL pipelines.◦ Built an AWS S3 User Dashboard detailing buckets with file upload function using React, Express andnginx.◦ Built a custom plugin for Grafana using React and Docker to allow filtering of AWS RDS MySQLdatabase data on data monitoring dashboard.◦ Wrote automation scripts in Python to validate FixedWidth file data in the AWS RDS MySQL databaseusing S3 buckets

◦Implemented a Java-based Data Entry Check Statistical Model for anomaly detection in Financial Assetsdata parameters like Business Asset Manual Cost Registration and Acquisition Date. Enhanced the modelby adding a lower bound threshold.◦ Enhanced the Workday X2 Chrome extension using React and Typescript. Implemented a proxy userswitch feature for seamless access level transitions, saving about 7500 hours annually.◦ Scraped OMS Metadata and JIRA tickets. Used MySQL to establish relationships between JIRA tickets andOMS Metadata changes. Finetuned LLaMa-2 to identify duplicate or similar JIRA tickets, improving ticketmanagement efficiency.◦ Built a Langchain and GraphQL Mutation micro-service to allow fast LLM ready app deployment andstored it in Tesseract for use by all teams with Trident/ReBL.◦ Restructured the Developer View in View Business Asset task with Xpresso. Moved Depreciation ExpenseView and Data Quality Assurance to a related action tab, significantly cutting down loading times for highusage business assets

◦ Developed and deployed "India Tourism", a cross-platform mobile app for the Ministry of Tourism of theIndian Government.◦ Automated collection of data using web scraping with BeautifulSoup and Selenium to extractinformation from Wikipedia. Recorded and labeled audio files relating to the gathered data.◦ Built the app using React and packaged it using Apache Cordova.◦ Integrated live audio streaming for an immersive tourism experience and utilised Google Maps API toshowcase nearby tourist attractions.