Abhilash Boddu

HIPAA-compliant module development using ASP.NET MVC5, C#, KnockoutJS, jQuery, Bootstrap, SQL Server, SSIS, and IBM DB2. Implemented SOA with WCF/Web API; built microservices with GraphQL and REST endpoints. Migrated data to Snowflake and developed reporting dashboards with SSRS, Crystal Reports, and Power BI. Implemented 834 EDI transactions and created HIPAA-compliant patient portals using Sitecore XP/XM/Headless. Integrated with Azure AD/OAuth and designed event-driven microservices on AWS Lambda; established multi-tenant security and deployment best practices.

Built and maintained enterprise UI applications using React 18, Next.js, TypeScript, JavaScript (ES6+), Redux/Toolkit, Redux Saga, Zustand, React Hooks, and React Router. Translated complex Figma designs into pixel-perfect HTML5/CSS3/SCSS interfaces with accessible, cross-browser fidelity. Implemented SSR/SSG, lazy loading, code splitting, and Core Web Vitals optimization. Integrated RESTful APIs (Axios/Fetch) and lightweight Node.js/Express back-end endpoints to support UI workflows. Collaborated with C#, .NET, ASP.NET Core, and Web API services to ensure consistent contracts. Wrote thorough unit/integration tests (Jest, RTL, Cypress, Playwright) and maintained reliable releases.

Designed and developed enterprise-grade applications using C#.NET, VB.NET, ASP.NET Core, Web API, Windows Forms, Web Forms, and WCF. Built dynamic UIs with React, Angular, Vue.js, and implemented SSR/SSG, code splitting, and caching strategies for high-performance, enterprise web apps. Architected distributed microservices and cloud-native deployments across multi-cloud stacks, integrated RESTful APIs and OpenAPI/Swagger, designed scalable data models across SQL Server, Oracle, PostgreSQL, Snowflake, and MongoDB, and implemented centralized logging and observability with ELK, OpenTelemetry, and Prometheus. Enabled secure, real-time messaging with Azure Service Bus, RabbitMQ, and Kafka; containerized services with Docker and Kubernetes; and CI/CD pipelines with Azure DevOps, Jenkins, and GitHub Actions. Exposed lightweight AI agent integration patterns and MCP-based workflows to enhance component libraries and platform capabilities.