Over 10 years of experience in designing and developing end-to-end enterprise applications using following technologies. SRE: Deep expertise in scalability, reliability, and automation across distributed systems. Adept at reducing downtime, optimizing performance, and implementing failover strategies to ensure seamless user experiences. OPEN AI Integration: GPT-3.5-turbo, code-davinci-002 Models. LLM, Used GPT models to create code snippets for React application. Gen AI, Prompt Engineering Client-side: Angular, React, Redux, Typescript, JavaScript, HTML/HTML5, CSS/CSS3, Bootstrap, Tailwind, SCSS, SASS Backend: C#, .NET Core, .NET 8, Web API, Node Js, Express, API: REST, GraphQL Database: MongoDB, Entity Framework, MSSQL(Stored Procedures, Views), Azure table storage Integration: Neuron, ESB, Kafka Js (Publisher/Subscriber message gateway) Cloud Technologies: Azure Entra Integration, App Services, Function App, App registration, Front-door, APIM, CI/CD Deployments, Cosmos DB Trigger, Service Bus trigger, Key-Vault management, App Configuration manager, Azure Storage(Blob/Table storage), Service Bus (Topic, Queue Integration), Zone resiliency, Application Insights, Dashboard Creation Unit Testing: Jest(Basic Knowledge) , Nunit, NSubstitute Generators: Yeoman Reporting/Other tools: Open Telemetry, Azure app insights, Sonar cloud, Grafana, ExcelJS, Dynatrace , VeraCode Versioning tools GitHub, Bitbucket, TFS, Jira Design patterns Microservice event-driven architecture, DDD, Micro Frontend, CQRS Basic Knowledge of Kubernetes, Docker(Creating yaml files), and CI/CD pipeline integration. Experience in Agile Methodology. Implemented and monitored SLIs, SLOs, and error boundaries to enhance system reliability and optimize incident response. Automated deployment, scaling, and observability using Kubernetes, and monitoring tools like Prometheus and Grafana. https://praveenmp.github.io/