Case Studies

Real world examples of translating complex operational challenges into data driven solutions.

Each case study explores the problem context, stakeholder needs, data requirements, technical approach, implementation decisions and business impact, demonstrating how I bridge the gap between users, technology and outcomes.

Live demo platform

Meridian Operations

Operational Decision Platform

A connected operational ontology that traces supply chain disruption from detection through to business impact, built to replace fragmented dashboards with a single traceable model.

Early-stage venture · Discovery & validation stage

Sherlocked.ai

Federated learning for inclusive lending

An early-stage fintech venture using federated learning to let financial institutions extend credit to underbanked segments without centralising sensitive customer data.

Applied research project

Marine Conservation Computer Vision

Instance segmentation for sea turtle conservation research

An instance segmentation pipeline that isolates a sea turtle's flippers, head and tail from photographs, built to reduce the manual annotation burden in conservation photo-ID workflows.

Live voice AI agent

Order Status Voice Agent

Conversational voice AI for order status lookups

A multi-language voice AI agent that answers order-status questions in real time by calling a live webhook tool against a Supabase database, built to demonstrate full-stack integration from conversational AI through to production data.