Case Studies

Real AI. Real results.
See the proof.

These aren't hypothetical scenarios. These are real projects where AI made a measurable difference — products I've built and workflows I've transformed.

AI IntegrationCustomer SupportSaaS Platform

Converso.ai

AI-Powered Omnichannel Helpdesk

The Challenge

Converso needed a sophisticated helpdesk platform that could use AI to handle customer queries across multiple channels — chat, email, and social media — while reducing the load on human support agents.

The Solution

I designed and built the complete frontend application using Vue.js, TypeScript, and Quasar. The platform integrates AI-powered response suggestions, automatic ticket categorisation, and intelligent routing that learns from agent behaviour.

Results

  • AI handles first-response for 60%+ of incoming queries
  • Average response time reduced from hours to seconds
  • Support agents focus on complex issues that need human empathy
  • Platform now serves multiple enterprise clients
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AI/MLVideo ProcessingPrivacy Tech

BlurMaker

AI Face & Object Tracking Tool

The Challenge

BlurMaker needed to evolve from a basic video blurring tool into an intelligent platform that could automatically detect and track faces and objects in real-time video.

The Solution

I rebuilt the UI in Angular and TypeScript, integrating AI-powered face and object detection. The tool now automatically identifies elements to blur, tracks them across frames, and allows fine-tuned manual adjustments.

Results

  • Automatic face detection eliminated manual frame-by-frame work
  • Processing time reduced by 80% compared to manual approach
  • Used by content creators, journalists, and privacy-conscious organisations
  • Tool handles real-time video processing in-browser
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ProductivityDeveloper ToolsWorkflow Automation

My Own Workflow

AI-Augmented Development in Practice

The Challenge

As a solo freelancer handling design, development, and client communication, I needed to find ways to deliver higher quality work in less time without hiring a team.

The Solution

I integrated AI tools throughout my entire workflow: Claude for code review and architecture decisions, Cursor for AI-augmented coding, GitHub Copilot for repetitive code patterns, and ChatGPT for client communication drafts and content creation.

Results

  • Development time reduced by 40-60% on typical projects
  • Code quality improved through AI-assisted review
  • Able to take on more complex projects as a solo developer
  • Client communication is faster and more consistent

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