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SaiUttej R

@saiuttejr

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Cloud-native backend engineer building Azure systems and full-stack products.

India

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What I'm looking for

I’m looking to keep building Azure-first, event-driven backend systems and ship full-stack products end to end. I want a team that values automation, clean observability, and practical AI-assisted engineering.

I’m a Software Engineer with 1.5+ years building cloud-native backend systems on Azure and full-stack products across Next.js and React Native. I’ve built and shipped 2 live consumer products from scratch, and I’m comfortable moving fast from architecture to production impact.

At MAQ, I’ve automated multi-stage marketing workflows using Azure Durable Functions, Event Grid, and Service Bus—eliminating manual orchestration for 5+ event types and cutting provisioning time from hours to minutes. I also built event-driven campaign automation pipelines with smart configuration (from ~2 hours to under 5 minutes), and introduced AI-assisted development (GitHub Copilot PR review and custom MCP agents) to reduce PR review boilerplate by 30%.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

MAQSoftware

Sep 2025 - Present (8 months)

Automated multi-stage marketing event workflows using Azure Durable Functions, Event Grid, and Service Bus, eliminating manual orchestration for 5+ event types and reducing provisioning time from hours to minutes. Built an event-driven campaign automation pipeline with 40+ dynamic field mappings, and introduced AI-assisted development (GitHub Copilot PR reviews and custom MCP agents) to cut boiler

Azure Functions Azure Event Hubs Azure Service Bus GitHub Co Pilot Event Driven Architecture PR Review Automation

Associate Software Engineer

MAQSoftware

Aug 2024 - Aug 2025 (1 year)

Built C# .NET event processors for post-operation record state changes that trigger Azure Service Bus messages and route typed payloads to downstream microservices with end-to-end correlation tracking. Implemented structured logging with Application Insights and correlation IDs to enable KQL root-cause analysis, reducing production incident triage time from ~2 hours to ~20 minutes.

C# .NET Event Processing Azure Service Bus Microservices Correlation IDs Application Insights REST APIs

Education

Degrees, certifications, and relevant coursework

CVR College of Engineering

Bachelor of Technology, Computer Science and Engineering

2021 - 2025

Grade: 8.13/10 GPA

Activities and societies: GDSC member; organized inter-college chess tournament; college-level competitive chess player.

Pursued a Bachelor of Technology in Computer Science and Engineering (JNTUH) and achieved a GPA of 8.13/10. Participated as a GDSC member and organized inter-college chess tournaments, while competing at the college level.