Prathyusha Mallu
js, and TypeScript across AWS, GCP, and Azure. I specialize in building SPAs and enterprise-grade systems with a strong emphasis on UI/UX, SOLID design, microservices, and robust DevOps practices.
About
I’m a Senior Full-Stack Developer with 8+ years of experience designing, developing, and deploying scalable, cloud-native applications using React.js, Node.js, Express.js, and TypeScript across AWS, GCP, and Azure. I specialize in building SPAs and enterprise-grade systems with a strong emphasis on UI/UX, SOLID design, microservices, and robust DevOps practices. I enjoy delivering secure, high-performance software with accessible interfaces and comprehensive test coverage.
I have hands-on experience leading cloud-first architectures, containerized deployments, and data-driven features, collaborating in Agile environments to ship reliable solutions. I’m passionate about clean code, scalable design, and continuous learning to stay ahead in fast-moving tech ecosystems.
- 8 years' experience
- Joined November 2025
Industry experience
- Financial Services
- Healthcare
- Software & Internet
- Retail
- Media & Entertainment
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Work experience· 9 roles
Developed scalable full-stack applications using React 18.3.1, Node.js 19, Next.js 14, and ExpressJS, leveraging SSR, SSG, App Router, and Server Components to enhance SEO, performance, and UX. Migrated legacy systems to Node.js-based microservices with WebSockets for real-time authentication and session synchronization. Designed and optimized RESTful APIs with GraphQL, Elasticsearch, and Neo4j for real-time queries and graph analytics. Implemented OAuth 2.0, JWT, and encryption for secure access control. Created reusable React component libraries for micro-frontend architectures. Used TypeScript across frontend and backend. Integrated MongoDB and PostgreSQL with Mongoose and Drizzle ORM. Developed mobile apps with React Native. Built backend microservices in Flask for lightweight endpoints and async processing. Improved performance with Webpack tweaks (GraphQL times ~30% faster). Implemented CI/CD with GitHub Actions and Jenkins; AWS CDK; orchestrated deployments on GKE. Deployed ML m
Developed scalable full-stack applications using React 18.3.1, Node.js 19, Next.js 14, and ExpressJS, leveraging SSR/SSG, App Router, and Server Components to enhance SEO, performance, and UX. Migrated legacy systems to Node.js-based microservices with WebSockets for real-time authentication and session sync. Designed RESTful APIs with GraphQL, Elasticsearch, and Neo4j for real-time queries and graph analytics. Implemented OAuth 2.0, JWT, and encryption for secure access control. Built reusable React component libraries for micro-frontend architectures, and used TypeScript on frontend and backend. Integrated MongoDB and PostgreSQL with Mongoose and Drizzle ORM. Developed React Native mobile apps. Built backend microservices in Flask (Python). Optimized performance with Webpack, reducing GraphQL response times by 30%. Implemented CI/CD with GitHub Actions and Jenkins, and AWS CDK. Orchestrated serverless ETL pipelines with AWS Glue, Athena, GCP Cloud Functions, and BigQuery. Deployed on
Developed full-stack healthcare applications using the MERN stack and React Native for cross-platform mobile apps with real-time calendar sync and push notifications. Built responsive UIs with React 18.2, Redux, React Router, TypeScript, Material UI, and Tailwind CSS; optimized performance/SEO with Next.js SSR and code-splitting. Designed secure RESTful APIs with Node.js/Express and NestJS, JWT authentication, and FHIR standards; documented APIs with OpenAPI/Swagger and validated via Postman. Built backend services with Flask/Django for authentication and templating; collaborated with AI/ML teams deploying Flask-based microservices for triage prediction. Implemented ETL/streaming pipelines with Apache Kafka, RabbitMQ, AWS Glue, and Azure Data Factory; queried data with AWS Athena and Azure Blob Storage; ensured HIPAA compliance. Used event-driven architectures with AWS EventBridge/SNS/SQS and Azure Event Grid/Service Bus. Modeled data with PostgreSQL, MongoDB, Redis; used Neo4j for gra
Education
Mastered in Computer Science
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