Jeevan Kumar

Working on the State of Michigan Unemployment Insurance (MIUI) modernization as a Full Stack .NET Developer. 🔹 Engineered microservices for unemployment claims processing using .NET Core, enhancing scalability and response times. 🔹 Migrated legacy UI modules to ASP.NET Core MVC; integrated legacy Web Forms with .NET Core services. 🔹 Developed and secured RESTful APIs for identity verification and federal system integration. 🔹 Built Razor Pages dashboards and implemented real-time updates using SignalR. 🔹 Created responsive UI components using HTML5, CSS3, and JavaScript for better accessibility. 🔹 Built React-based internal tools using React.js, Redux-Saga, and Context API for state management. 🔹 Optimized React views with React.memo and implemented custom validation for claim forms. 🔹 Designed and tuned SQL Server databases; used MongoDB for document metadata and user feedback. 🔹 Automated build and deployment pipelines with Jenkins CI/CD, reducing manual effort. 🔹 Containerized services using Docker and deployed them via Azure Kubernetes Service (AKS). 🔹 Managed deployments on Azure App Services with auto-scaling during peak load periods. 🔹 Configured Azure SQL with partitioning and elastic pools to handle large claim volumes. 🔹 Set up monitoring and alerts using Azure Monitor and Application Insights. 🔹 Developed unit and integration tests using xUnit, MOQ, and React Testing Library, improving code quality.

🔹 Developed secure healthcare applications using .NET Core, improving system performance and ensuring HIPAA compliance. 🔹 Migrated legacy systems to ASP.NET Core MVC, improving maintainability and performance by 20%. 🔹 Built scalable RESTful APIs for patient data exchange, reducing API response times by 30%. 🔹 Created Razor Pages for patient scheduling and data entry with improved UX. 🔹 Developed efficient C# algorithms for processing medical data, improving accuracy and speed. 🔹 Designed responsive UIs using HTML5, CSS3, and JavaScript, enhancing accessibility. 🔹 Built dynamic interfaces with React.js, using Redux for state management. 🔹 Implemented React Hooks and optimized rendering with React.memo, useCallback, and lazy loading. 🔹 Used advanced React patterns like HOCs and Render Props to increase reusability. 🔹 Integrated SignalR for real-time patient status updates and alerts. 🔹 Deployed applications on Azure App Services with scaling policies and custom domains. 🔹 Secured secrets with Azure Key Vault; orchestrated containers using AKS. 🔹 Implemented Cosmos DB with multi-region replication for sub-second data sync. 🔹 Built secure Azure DevOps CI/CD pipelines with deployment gates and test automation. 🔹 Tuned Azure SQL and MySQL databases with indexing and partitioning strategies. 🔹 Managed unstructured healthcare data using MongoDB for flexibility and fast iteration. 🔹 Used Docker for consistent deployments; orchestrated with Kubernetes for scalability. 🔹 Enabled real-time monitoring with Azure Monitor and Application Insights. 🔹 Wrote unit and integration tests with xUnit, Jest, and React Testing Library, reaching 90% coverage. 🔹 Automated build/test/deploy with Jenkins, reducing manual effort and deployment time by 50%.

🔹 Migrated applications to .NET 6, improving performance by 20% and reducing memory usage for better scalability. 🔹 Redesigned customer engagement modules using ASP.NET MVC, reducing response times by 25%. 🔹 Built secure and scalable RESTful APIs with ASP.NET Core Web API for third-party integrations, reducing transaction errors by 15%. 🔹 Integrated SignalR for real-time order status updates and improved user engagement. 🔹 Optimized data access using Entity Framework Core, reducing query latency by 30% on SQL Server and Cosmos DB. 🔹 Enhanced legacy ASP.NET Web Forms systems by integrating them with modern .NET Core services. 🔹 Created responsive UI with HTML5, CSS3, and JavaScript, improving cross-device UX and load speed. 🔹 Developed interactive features in React.js, using Redux for consistent state management. 🔹 Boosted rendering speed with React.memo, virtual DOM, and code-splitting, cutting time-to-interactive by 35%. 🔹 Built reusable components for real-time pricing and product catalogs to enhance engagement. 🔹 Tuned MySQL databases for high-traffic scenarios, improving performance by 25% with indexing. 🔹 Used MongoDB for flexible storage of customer reviews and semi-structured data. 🔹 Automated builds, testing, and deployment using Jenkins CI/CD, reducing manual errors and speeding up releases. 🔹 Containerized services with Docker and orchestrated using Kubernetes for better scalability. 🔹 Deployed on Azure App Services with Traffic Manager, reducing global latency by 35%. 🔹 Secured secrets using Azure Key Vault, ensuring compliance with industry standards. 🔹 Improved query performance in Azure SQL with auto-tuning and partitioning strategies. 🔹 Enabled real-time insights with Azure Monitor and Application Insights, minimizing downtime. 🔹 Built Azure DevOps pipelines with integrated security checks to meet PCI DSS compliance. 🔹 Managed AKS for container orchestration, improving uptime and reducing recovery times during updates.

🔹 Designed a scalable serverless e-commerce platform using .NET 6, AWS Lambda, and API Gateway, reducing infra costs by 20%. 🔹 Migrated legacy modules to ASP.NET MVC, improving performance by 20% and maintainability. 🔹 Built RESTful APIs for real-time order tracking and inventory, increasing speed by 30%. 🔹 Interfaced with RDS and DynamoDB for optimized product data access. 🔹 Tuned SQL Server on AWS RDS with replication and failover, reducing downtime by 30%. 🔹 Improved DB performance by 35% through query optimization and indexing. 🔹 Refactored front-end with React.js and Redux, improving UI responsiveness. 🔹 Used React.memo, SSR, and lazy loading to cut load time by 40% on high-traffic pages. 🔹 Handled async order processing using AWS Lambda, reducing task latency by 25%. 🔹 Architected multi-region Aurora DB with auto-failover, achieving 99.99% uptime. 🔹 Integrated Redis and ElastiCache for caching, improving API speed by 50%. 🔹 Containerized microservices with Docker, deployed via AWS Fargate and Kubernetes. 🔹 Used AWS S3 with intelligent tiering for secure, cost-efficient media storage. 🔹 Monitored app performance using CloudWatch and X-Ray, reducing issue detection time by 30%. 🔹 Automated CI/CD with CodePipeline, CodeBuild, and Jenkins, cutting deploy time by 50%. 🔹 Used SQS and SNS for event-driven workflows across distributed services. 🔹 Enforced security via IAM, KMS, and AWS Shield to meet compliance and DDoS protection. 🔹 Scaled APIs using API Gateway with throttling and rate limits for traffic spikes. 🔹 Managed EKS clusters with auto-scaling for performance and cost optimization. 🔹 Deployed CloudFront CDN to improve static asset delivery and reduce latency by 40%. 🔹 Built a real-time analytics dashboard using React and CloudWatch for live metrics.