SIVAPRAKASH DEVADOSS

IA🧾 Current Project: BenefitsCal Application Modernization

Role: Full Stack Architect
Duration: May 2019 – Present | Client : CalSAWS

Description:
Architected and implemented an AI-driven support automation platform that leverages Generative AI to classify, summarize, and route IT service tickets in real-time, significantly improving response accuracy and reducing manual effort.

• Led the end-to-end architecture, design, and implementation of enterprise applications using .NET Core,Angular, React.js, and cloud-native services (Azure & AWS).
• Defined solution architecture for microservices, serverless workflows (Lambda/API Gateway), and event-driven systems to ensure scalability, security, and fault tolerance.
• Designed and implemented Generative AI and Agentic AI based automation flows using Amazon Bedrock Agents, Azure OpenAI,Azure Cognitive Service and AutoGen frameworks.
• Translated business requirements into technical blueprints, including architecture diagrams, API contracts, and deployment pipelines.
• Established coding standards, design patterns, and best practices across frontend and backend teams to ensure maintainable and modular code.
• Led cross-functional teams in Agile/Scrum environments, conducted design/code reviews, and provided technical mentoring to developers.
• Integrated CI/CD pipelines using Azure DevOps and AWS CodePipeline for automated build, test, and deployment.
• Partnered with stakeholders to evaluate tools, assess risks, and ensure compliance with security, data privacy, and Responsible AI principles.
• Designed and implemented AI-powered solutions using Azure AI Cognitive Services, including Text Analytics, Computer Vision, Language Detection, and Speech-to-Text for intelligent workflows.
• Built intelligent Q&A systems using QnA Maker, Azure Language Services, and integrated them into enterprise chatbots via the Azure Bot Framework and Microsoft Teams.
• Developed Azure Functions and .NET Core APIs to orchestrate serverless backend logic, integrate AI services, and expose secure endpoints for multi-channel applications.
• Implemented natural language understanding using LUIS to classify user intents and extract entities, enabling rich conversational experiences across voice and text channels.
• Leveraged Azure OpenAI (GPT models) to enhance chatbot responses, automate content generation, and implement semantic search using vector embeddings and Azure AI Search.
• Integrated Speech-to-Text and Text-to-Speech features to support voice interactions in AI-enabled virtual assistants.
• Ensured all AI applications comply with Responsible AI principles—including fairness, explainability, and transparency—using tools like Responsible AI dashboard.

Technologies Used:
Angular, React.js, ASP.NET Core, C#, Azure Cognitive Service, Azure Open AI, AWS Services, Azure Services, JWT, .NET Core, Postgres Sql

• Designed and developed interactive and responsive web pages aligned with client requirements.
• Created and managed relational database structures to support application functionality.
• Analyzed technical specifications and business requirements provided by clients.
• Implemented application logic and modules based on approved design documents.
• Conducted unit testing and integration testing to ensure functionality and reliability.
• Identified and resolved software defects to improve system performance and user experience.

• Working as web developer and database design, analysis and so on...