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My Work

Spectrum Defragmentation

Transforming backend-dependent spectrum planning into a real-time visual editing system.

Enterprise network engineers were forced into backend scripting for spectrum adjustments, causing structural workflow friction and repeated failures.

 

I led end-to-end redesign from discovery workshops to stakeholder alignment and rollout within 3-week window.

Impact

  • 70% retry reduction

  • 40% faster execution

  • Removed backend dependency

  • Adopted across 3 internal engineering teams

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Upcoming Works

ViNCA - AI Assistant Tool

Introducing a conversational layer to enterprise network systems

Designing an AI-powered assistant that enables network engineers, maintenance teams, and leads to interact with complex systems through natural language.

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From clearing alarms with a single prompt to retrieving network service data instantly, the assistant reduces operational friction and enables workflow automation through custom agents.

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Seamlessly integrated across the Virtuora product suite.

Case study coming soon.

Alarm Storm

Reframing alarm overload in enterprise network monitoring

In high-volume network environments, alarm floods can overwhelm engineers — obscuring critical signals and slowing response time.

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This project focused on understanding how engineers triage large volumes of alerts, identifying structural gaps in prioritization and visibility, and redesigning workflows to reduce noise without compromising control.

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From clustering logic to clearer severity signaling and iterative testing with R&D teams, the goal was simple:
Make critical alerts unmistakable.

Case study coming soon.

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