• Developed and deployed a scalable, cloud-native feature for the Netflix Member Support Platform using Java, Spring Boot, and AWS, reducing ticket resolution time by 30% and enhancing user experience for millions of global customers.

• Designed and implemented a Retrieval-Augmented Generation (RAG) pipeline leveraging AWS Textract, PySpark, and Pinecone, processing over 15 million documents, improving answer accuracy by 23% and reducing irrelevant responses by 40%.

• Built a real-time sentiment analysis module using Python and Hugging Face Transformers to classify customer queries by emotional tone, enabling early identification and escalation of high-priority issues.

• Worked in an Agile, cross-functional product team to deliver full-stack features using GraphQL, enhancing integration with internal tools and third-party platforms.

• Created and maintained CI/CD pipelines with Jenkins, Docker, Kubernetes, and Terraform, automating microservice deployments, reducing manual release tasks by 60%, and supporting zero-downtime canary deployments.

• Implemented robust testing strategies including JUnit (unit testing), TestContainers (integration testing), and Selenium (E2E automation), increasing code test coverage to 82% and reducing post-release bugs by 35%.

• Led to the end-to-end development of 2 major full-stack applications for healthcare and e-commerce clients, integrating 15+ microservices and improving system performance by 40%, while reducing client-reported critical bugs by 25%.

• Built and maintained Java/Spring Boot backend microservices and REST APIs for a high-volume patient data platform, supporting 8,000+ daily record updates with 99.9% uptime.

• Automated healthcare form processing by integrating Azure AI Document Intelligence, leveraging OCR and custom NLP models to extract insurance data with 91% accuracy, cutting manual data entry costs by 45%.

• Developed responsive, full-stack e-commerce applications using Angular 12, Node.js, and MongoDB, leading to a 22% improvement in conversion rates and 15% drop in cart abandonment.

• Designed intuitive UI/UX workflows using Figma and Angular Material, incorporating A/B-tested components that boosted user engagement by 30% and reduced support tickets by 40%.

• Engineered CI/CD pipelines with Jenkins, Azure DevOps, and GitHub Actions using Git Flow and Blue-Green deployments, enabling zero-downtime releases for mission-critical systems.