• Designed and developed RESTful APIs using Python (Flask, SQLAlchemy) for a location-based microservice, enabling efficient data access and service coordination across services.

• Integrated AWS Systems Manager Parameter Store for centralized configuration management, improving security by externalizing sensitive configurations and enabling environment-specific deployments.

• Deployed serverless services on AWS Lambda and API Gateway, ensuring scalability and efficient request handling.

• Collaborated with cross-functional contributors in an Agile setup to test, deploy, and refine production-ready backend services.

• Built a POC to transition HPE storage management systems from monolithic to microservices architecture using Go and GraphQL.

• Designed and developed key components of a microservices-based storage management solution using Go, GraphQL, and Kafka, improving system performance by ~25–30% and reducing server load by ~30–40%.

• Optimized GraphQL schema and backend queries, reducing over-fetching and improving query efficiency; enhanced database performance through better indexing and query optimization, lowering response times by ~20–25% for data-intensive operations.

• Refactored legacy Java-based REST APIs for HPE 3PAR StoreServ systems, identifying and resolving memory leaks and improving performance, resulting in improved system stability and reduced resource consumption.

• Implemented key features of a bi-directional data replication service using Python and REST APIs, ensuring data consistency across distributed storage systems and reducing data synchronization latency.

• Improved backend service performance by profiling memory usage and optimizing API workflows in Python services, improving runtime efficiency and reducing memory footprint.

• Deployed containerized microservices using Docker and Kubernetes, enabling scalable and reliable production deployments with improved service availability.

• Mentored and onboarded 2+ junior engineers, improving team productivity and reducing ramp-up time.