Gopal Krishna Mechineni

Led development of modular .NET 6 microservices and RESTful APIs for a new digital banking platform, deployed on Azure AKS with Terraform/ARM for resource management. Built back-end services with Entity Framework Core, SQL Server, and secure authentication via OAuth2.0, JWT, and Azure AD. Created Angular front-end components with lazy-loaded modules and integrated Blazor for internal modules. Implemented CI/CD pipelines with Azure DevOps and Docker/Kubernetes deployments; integrated Azure OpenAI models for fraud detection; added real-time features with SignalR.

Designed and implemented modular .NET 6 microservices; built RESTful Web API services with CRUD capabilities; developed responsive SPA front-ends with Angular; secured APIs with AAD, OAuth2.0, and JWT; deployed containers to AKS in Azure; integrated SignalR for real-time updates; collaborated with data science teams to integrate Azure OpenAI models for fraud detection and intelligent support; created custom REST endpoints to surface LLM results; implemented CI/CD via Azure DevOps; configured disaster recovery with Azure Backup/Traffic Manager; performed performance tuning on APIs and SSIS ETL processes.

Implemented RESTful Web API services for CRUD operations across core banking domains. Designed a modular microservices architecture using .NET 6 to handle scalable customer operations. Built and deployed reusable backend services with Entity Framework Core, LINQ, and SQL Server to manage transaction data and account information. Developed responsive SPAs using Angular, TypeScript, HTML5, CSS3, and Bootstrap to support customer account management and dashboard views. Implemented pixel-perfect UI with Angular components, lazy loading, and AOT compilation. Secured backend APIs with Azure Active Directory (AAD), OAuth 2.0, and JWT-based authentication and authorization; configured RBAC and MFA. Used Terraform and ARM templates to provision Azure resources; deployed to Azure App Services and AKS using Docker containers. Added real-time updates with SignalR and integrated Azure OpenAI models for fraud detection and smart support. Created custom RESTful APIs to expose LLM results and secured