Sindooja Gajam

• Built React-based internal developer platform on AWS, increasing internal developer adoption by 32%, reducing tool-switching time by 28%, and improving deployment visibility across 700+ engineers organization-wide. • Implemented real-time deployment dashboards using React, WebSockets, and Node.js APIs, reducing incident response time by 24% and improving build pipeline success tracking accuracy by 37%. • Optimized frontend SSR, GraphQL batching, and Redis-backed Node caching on AWS EKS, decreasing average dashboard load time by 41% and improving platform performance NPS by 35%. • Engineered modular React micro-frontend architecture using TypeScript, Gestalt design system, dynamic plugin loading, React lazy, and Suspense, enabling scalable internal tool expansion across multiple engineering domains. • Developed Node.js and Express API gateway integrating Kubernetes, CI/CD, GitHub Enterprise, and monitoring systems, implementing JWT authentication and RBAC middleware for secure infrastructure orchestration. • Designed MongoDB schemas for service catalog, deployments, and experiments, implementing aggregation pipelines and compound indexes to support high-volume internal analytics queries efficiently and reliably. • Built a GraphQL federation layer with Apollo Server on Node.js, enabling efficient data composition across internal APIs while implementing query batching, caching strategies, and schema-level performance optimization. • Integrated AWS cloud services, including EKS, S3, CloudWatch, and IAM to deploy containerized Node services, enabling horizontal scaling, centralized logging, and secure infrastructure access controls.

Improved React dashboard load performance by 35% by optimizing component rendering, refining GraphQL queries, and implementing Node.js and Express server-side caching on Google Cloud Platform. • Reduced backend API response latency by 40% by optimizing MongoDB aggregation pipelines, introducing Express middleware caching layers, and refactoring Node.js data services supporting high-volume internal dashboard traffic. • Increased feature rollout efficiency by 28% by building reusable React components, centralized Node.js APIs, and MongoDB-backed feature flag systems enabling controlled experimentation across applications. • Developed scalable frontend interfaces using React.js, TypeScript, Redux Toolkit, and GraphQL, implementing modular component architecture supporting complex dashboards and high-frequency merchant data interactions. • Built REST and GraphQL APIs using Node.js and Express.js, implementing middleware layers for request validation, authentication handling, and efficient communication with MongoDB data services. • Designed optimized MongoDB schemas, implementing indexing strategies, aggregation queries, and data modeling patterns to support large-scale analytics queries and high-volume application workloads. • Implemented secure authentication and role-based access control using Node.js, Express middleware, JWT tokens, and OAuth flows, protecting sensitive merchant data across distributed web services. • Integrated real-time system capabilities using WebSockets, Redis pub/sub messaging, and Node.js event services, enabling live activity updates and asynchronous event processing across React dashboards. • Engineered full-stack deployment workflows using Docker containers, Node.js services, and MongoDB clusters, enabling scalable application hosting and CI/CD pipelines within Google Cloud Platform infrastructure

• Assisted in modernizing enterprise internal web applications using React.js, TypeScript, and Redux Toolkit, improving UI responsiveness and contributing to a 32% reduction in page load time on Azure cloud. • Contributed to frontend performance optimization using code splitting, lazy loading, and memoization, helping improve overall user engagement by 27% and reducing API call redundancy across distributed environments. • Developed reusable UI components using React 18, React Router, Material UI, and Axios, building responsive dashboards and internal tools for enterprise-level applications. • Integrated real-time features using WebSockets and Socket.IO within React applications, enabling live notification updates and activity feeds connected to Node.js backend services. • Supported backend API development using Node.js and Express.js, implementing RESTful routes, request validation, and JWT-based authentication integrated with enterprise identity systems. • Designed and maintained MongoDB schemas using Mongoose, compound indexes, and aggregation pipelines, ensuring efficient querying for analytics dashboards and role-based access control systems. • Collaborated on experimentation features using feature flags and A/B testing logic, enabling controlled frontend rollouts and personalization capabilities integrated with Node.js services in Azure environments.