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Garv Goel

@garvgoel1

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I build scalable enterprise platforms, high-performance data systems, and AI-powered developer workflows.

India

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What I'm looking for

I’m looking for software engineering opportunities where I can build scalable backend or full-stack systems, solve performance challenges, contribute to modern architecture, and work on AI-enabled developer workflows.

At MAQ Software, I’ve delivered backend and full-stack features for enterprise platforms handling 90M+ records. I reduced a critical SQL workload from 3 hours 40 minutes to about 2.5 minutes and led a modernization POC that helped secure a client engagement.

I build with C#, ASP.NET Core, SQL, React, TypeScript, Azure, and microservices. I’ve also built Vishvakarma, an autonomous AI development agent that turns Jira tickets into planned implementations and pull requests with human approval gates.

Experience

Work history, roles, and key accomplishments

Software Engineer 2

MAQ Software

Mar 2026 - Jun 2026 (3 months)

Owned end-to-end feature delivery on a large-scale enterprise platform (90M+ records), driving technical design, backend development, testing, performance optimization, and production release.
Designed and developed scalable backend modules using C#/ ASP.NET Core and SQL within a microservice-oriented architecture, with emphasis on performance, reliability, clean code, automated testing.

Software Engineer

MAQ Software

Jul 2024 - Mar 2026 (1 year 8 months)

Led a technical POC for modernizing a legacy enterprise platform, evaluating distributed and microservice-oriented architecture approaches
and helping secure the resulting client engagement.
• Optimized a critical SQL workload on a 90M+ record dataset from 3h 40m to ~2.5 min (~99% reduction)
Contributed to a 3-4 month migration from an Electron-based application to a modern React based Web Add-In.

Associate Software Engineer

MAQ Software

Jan 2024 - Jul 2024 (6 months)

Built an Azure-based data ingestion pipeline using Azure Data Factory and ADLS to process recurring Excel uploads into SQL Server,
automating a previously manual data-loading workflow.
• Built upload workflows, dynamic filtering, and client-side validation into a .NET internal web application, contributing to end-to-end document
processing functionality.