• Built and scaled data pipelines using Python, improving data availability for cross-functional analytics and reporting

• Partnered with product and finance teams to implement ACH down payment flows, reducing transaction costs by 3% per transaction

• Reduced pipeline runtime from 8 hrs to 15 mins by migrating workloads from live DB to AWS data

lake, eliminating prior failures and significantly improving system performance

• Leveraged AI-assisted development tools (Claude, Cursor) to improve engineering productivity

• Maintained and enhanced backend services for the Personal Loan platform using Kotlin, Java, and Spring Boot

• Optimized lending flow logic, driving a 15% increase in user conversions and generating $15M in additional annual revenue

• Led multiple technical initiatives, including API and gRPC migrations, improving system stability and scalability

• Implemented robust monitoring and alerting using Datadog and Kibana, reducing deployment issues and improving incident detection

• Executed ETL operations on 5000+ rows robot data from GCP BigQuery using Python

• Applied ML dimension-reduction techniques like PCA, UMAP, and t-SNE for visualizing error clusters and diagnosing robotic autonomy performance abnormalities

• Optimized SQL queries to isolate the abnormal robots routes influencing data distribution and constructed efficient Python APIs, resulting in a 10% improvement in web app load time

• Implemented Airflow and Spark workflows to generate daily error shift images and distributed them to cross-functional teams for analysis

• Collaborated with a 10-member team, utilizing Git and Jira for streamlined task management

• Delivered a responsive e-commerce web app with sub-second load times, integrating CRUD functionality in an Agile development environment using React.js and Firebase

• Developed 20+ reusable and maintainable components, reducing future development time by 30%

• Utilized React.js Hooks and Context API to efficiently manage state across components and pages

• Designed and implemented scalable NoSQL database solutions for efficient data storage

Summer Undergraduate Research Foundation (SURF)

• Performed clinical text extraction and classification using a natural language processing approach

• Designed the algorithm part of the projects by achieving BiLSTM for accuracy with over 70%