Sep 2023 – Present · 2 yrs 9 mos · Bengaluru, Karnataka, India · Hybrid

• I worked on multiple Micro Frontends (MFEs) built using React, each interacting with its respective Backend-for-Frontend (BFF) service. These BFFs were designed using a fully serverless architecture, including AWS API Gateway, Step Functions, Lambda, DynamoDB, and S3.
• Before the rewrite, the legacy system was implemented in Spring, which our team maintained and enhanced to ensure stability and backward compatibility during the transition.
• One of the key services I delivered was an event-driven solution that allowed clients to ingest large volumes of data either via API calls or file uploads. The system was capable of processing over 100,000 records in under 5 minutes and supported parallel file ingestion by multiple users, while maintaining compatibility with the legacy system until its decommissioning.
• On the backend, I utilized advanced AWS features such as Single Table Design and Global Secondary Indexes (GSIs) in DynamoDB to optimize data modeling and querying. I also leveraged DynamoDB Streams for real-time data processing and Step Function Map State for parallel execution to improve scalability and throughput. AWS CDK was used to define and deploy infrastructure resources efficiently and consistently.
• To enhance the user experience, I implemented features such as virtualized lists and infinite scroll. I also performed performance tuning, which significantly boosted Lighthouse scores and overall application responsiveness, reducing the time-to-interactive by 1 second.
• I maintained high code quality by achieving 100% unit test coverage, resolving all ESLint issues and warnings, and fixing over 10 vulnerabilities identified during penetration testing. Additionally, I set up and optimized AI agents with custom instructions to improve coding assistance. I also mentored two interns on React and Spring Boot best practices and conducted code reviews.