Dipan Bag

I'm an Agentic AI-focused developer with 3 years of experience across software engineering, testing, and automation spanning cloud, on-prem virtualization, UI, and backend systems. I recently graduated with an MS in Computer Science from the University of Minnesota, Twin Cities, where my work centered on AI/LLM systems, data tools, visualization, and systems-oriented software development.

Recently, I've been focused on Apple-platform automation with Swift, SwiftUI, XCTest, and XCUITest through projects like DeskPilot and Sirius — you can read more about both below. That momentum was also part of a University of Minnesota CSE team that triumphed at a hackathon, covered by both the CSE team and MinnPost, pictured below.

Before graduate school, I worked as a Software Development Engineer in Test at Commvault Systems on File Systems backup and recovery workflows, developing end-to-end automated tests with Python, Selenium WebDriver, cloud SDKs, and PowerShell across AWS, Azure, Oracle Cloud, VMware ESXi, and Microsoft Hyper-V, and across NAS, NFS, S3, iSCSI, and CIFS/SMB storage systems. That gave me strong grounding in file systems, network storage, storage protocols, enterprise data protection, backend validation, log analysis, and root-cause debugging over distributed systems.

More recently, I worked as a Test Engineering Intern at IDeaS Revenue Solutions, building automated tests with Groovy, JUnit, and Spring Boot, validating APIs with Postman, and supporting CI/CD checks through GitHub Actions — testing backend integration services and data flows across distributed systems.

My strength sits at the intersection of Agentic AI, backend systems, file systems, and quality engineering. I like working on systems where correctness, reliability, data flow, architecture, and user trust matter, and I'm interested in roles involving Agentic AI, backend development, SDET/QA, test automation, and AI-enabled testing.