Cloud Solution Architect, AI Business Solutions at Microsoft . MSc Business Analytics, Imperial College London
Electrical engineer by training, solution architect by practice. I have spent the last several years building automation platforms, data pipelines, and AI-powered systems across enterprise environments — and more recently, native applications in Swift. I am interested in what it actually takes to move AI from prototype to production, and in helping organisations make that transition well.
Languages
AI / ML
Cloud and Infrastructure
Data and BI
Tenere — macOS Focus and Attention App
A native macOS application that monitors browser and application activity in real time using CGEventTap and NSWorkspace APIs, scores focus quality against user-declared work intentions, and applies a violation detection system that distinguishes genuine interruptions from prolonged distractions. Built with a full CI/CD pipeline using GitHub Actions and Docker.
Swift SwiftUI Supabase Docker GitHub Actions
Enterprise Social Listening Platform
A centralised analytics platform that aggregates content from multiple social media REST APIs into a MySQL backend, with NLP pipelines for sentiment analysis, controversy detection, and keyword clustering. Output surfaces through Streamlit dashboards with alerting for engagement spikes.
Python NLP MySQL Streamlit REST APIs
Busserbot — Autonomous Restaurant Robot
An autonomous robot designed to navigate dynamic restaurant environments, detect vacated tables using multi-sensor fusion and OpenCV, and execute tray-clearing routines without human input. Navigation uses A* pathfinding with dynamic obstacle handling.
Python WeBots OpenCV A*
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure Security Engineer Associate
- Microsoft Certified: Azure Administrator Associate
- Microsoft Certified: Power BI Data Analyst Associate