Rishi Oberoi
Azure Full-Stack EngineeR at
Voice Secure Global

Transforming Sustainable Ideas into Secure, Scalable Cloud-native SaaS Solutions

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Azure Full-Stack Engineering & Cloud Architecture

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• Architect and deploy scalable SaaS architectures on Microsoft Azure using React, TypeScript, Python NestJS, Cosmos DB, Blob Storage, Redis Cache, and Azure Cognitive Services.​​

• Develop modular RESTful APIs with controllers, services, and dependency injection for maintainable, production-grade back ends.

• Implement secure routing, validation, and exception handling using ValidationPipe, HttpExceptionFilter, and @UseGuards() for end-to-end API reliability.

• Automate configuration loading and background tasks with onModuleInit() and @nestjs/schedule, linking Azure Static Web Apps to App Service through secure RESTful endpoints.

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• Implement secure client–server communication using environment-based Axios authentication for GPT workflows, token renewal, structured error handling, and encrypted RESTful API requests across Azure environments.

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AI & LLM Orechestration

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• Design and orchestrate AI and large language model (LLM) pipelines with LangChain and transformer architectures, applying retrieval-augmented generation (RAG), contextual reasoning, multi-tool function calling, and prompt optimization.

• Engineer orchestration pipelines using Azure OpenAI and LangChain to integrate LLM reasoning into SaaS back-end systems.

• Develop middleware logic for deterministic responses, token-efficient inference, and structured JSON/HTML output validation within NestJS microservices.

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• Engineered AI microservices with Python FastAPI, integrated seamlessly with NestJS back-end services to deliver low-latency, real-time intelligence across production environments.

• Integrate Azure Cognitive Services and App Service APIs to deliver secure, low-latency AI experiences and scalable, production-grade deployments.

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Cloud Infrastructure, Deployment & CI/CD

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• Deploy Dockerize full-stack applications via Azure Container Registry and App Service using az acr build and az webapp config appsettings set.

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• Configur and manage Azure Static Web Apps environments, defining staging and production workflows, routing rules, and environment secrets for seamless CI/CD integration with App Service APIs.

• Managed multi-stage CI/CD workflows with GitHub Actions and Azure DevOps, integrating [skip ci] logic and automated npm ci && npm run build pipelines.

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• Monitor and optimize Redis-backed Bull queues using commands such as SCAN, LLEN, and DEL to troubleshoot job states, measure queue depth, and fine-tune background task throughput for high-performance data caching across App Service environments.

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• Schedule Bull queue refreshes using node-cron to trigger periodic cache updates and maintain real-time data synchronization across Redis-backed services.

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• Analyze HAR and network logs using browser developer tools to trace API behavior, troubleshoot latency, and improve client–server communication.

 

Cloud Security, Compliance & Identity Management

 

• Implement Azure IAM and RBAC policies to control developer, service principal, and container access across App Services, Cosmos DB, and Key Vault.

• Manage authentication and B2C flows using Microsoft Entra ID, integrating MSAL.js for unified token management and OAuth2.0 sign-ins for Google and Meta.

• Enable Microsoft Defender for Cloud and integrate security telemetry into Sentinel dashboards using KQL queries (SecurityEvent | summarize count() by Account).

• Enforce HTTPS, DNS, and certificate compliance for custom domains while maintaining Zero Trust-aligned governance across cloud resources.​​​​​​​​​

 

Technical Leadership & Project Delivery

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• Lead agile sprints, design-to-code handoffs, and product releases for Azure-hosted applications using Jira, GitHub, and Figma.

• Mentor junior developers in modern TypeScript, Python, React, and cloud security best practices to strengthen code quality and scalability.

• Deliver stakeholder demos and technical presentations using Gantt charts, radar visualizations, and live Azure dashboards.

• Optimize cloud performance and cost through Redis tuning (INFO memory, FLUSHDB) and build monitoring via Azure metrics and DevOps reports.