eTrademark Processing Platform

Trademark attorneys needed a streamlined way to process trademark applications, but existing solutions were slow, expensive, and didn't integrate well with USPTO data sources. Manual data entry was error-prone and searching USPTO records was time-consuming.

Designed and built a full-stack web application with React frontend and dual-database backend (MongoDB for document storage, PostgreSQL for relational data). Implemented a custom caching layer for USPTO trademark data that dramatically improved query performance. Deployed on AWS infrastructure with EC2 compute and S3 object storage for secure document handling.

Successfully deployed to production serving real trademark processing clients. The USPTO data cache reduced query times from seconds to milliseconds, enabling real-time trademark searches. Secure admin dashboard streamlined workflow management for the legal team.

• •Architected dual-database system: MongoDB for flexibility, PostgreSQL for relational integrity
• •Built custom USPTO trademark data cache improving query performance by ~1000x
• •Implemented secure file upload/storage pipeline with AWS S3
• •Designed admin dashboard for trademark submission management
• •Handled authentication and authorization for multi-role access
• •Deployed and maintained production AWS infrastructure (EC2, S3, databases)

• →Add Redis caching layer for frequently accessed USPTO data
• →Implement CI/CD pipeline with automated testing
• →Add real-time collaboration features for team trademark review
• →Migrate to serverless architecture (Lambda + API Gateway) for better scaling