Sunithya Penumarthy

Developed scalable full-stack web applications using React, Next.js, and TypeScript to strengthen research usability and engagement, achieving a 25% increase in user interaction. Integrated and processed over 500K biological datasets with PostgreSQL and MongoDB, applying schema optimization and indexing to speed up queries by 40%. Designed and automated backend pipelines in Node.js and Python, leveraging AWS services (Lambda, Athena, S3, RDS, DynamoDB) to scale data workflows. Built secure RESTful and GraphQL APIs, integrated Chart.js for data visualization, implemented JWT and OAuth 2.0 authentication, and deployed microservices using Docker, Kubernetes, Eureka, and Jenkins pipelines.

Developed high-performance backend microservices using Spring Boot, C#, and C++, integrating Redis to optimize response times for frequently accessed endpoints. Managed deployments and server operations using Linux command-line tools, maintained code quality with Git, and collaborated with engineering teams to improve system scalability. Implemented monitoring solutions using Grafana to visualize NoSQL-based telemetry data, enabling real-time system health tracking and rapid issue resolution in production.

Developed a scalable medical delivery platform using the MERN stack (MongoDB, Express, React, Node.js) with a dynamic frontend and robust backend, improving healthcare accessibility and user experience. Leveraged AWS services such as EC2, S3, and Lambda for secure, scalable cloud computing solutions, ensuring efficient management and scalability of large-scale healthcare data.