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I’m a product owner and systems engineer with a background in delivering high-impact technology across rail, aviation, and AI-adjacent domains. I’m drawn to complex, meaningful problems where the path isn’t obvious at first, but the outcome makes a real difference. Alongside my work in critical infrastructure, I’m building HallCorp, my product studio for rapid experimentation and incubation. Current project: PodVault, an AI-powered insights engine that turns podcasts into strategic briefs for agencies and consultants. Earlier experiments included ToughLove AI, a coaching tool that delivered brutally honest weekly reports for founders — a project that gave me valuable lessons in market validation and user testing. At Hitachi Rail, I’ve led delivery on a £2M portfolio spanning predictive maintenance and digital signalling. My work cut integration costs by 50%, improved signal fault resolution from 1km to 20m, and supported deployment of ML models to predict asset failures. My approach is hands-on and systems-led. Whether designing workflows for PodVault, shaping technical specs, or aligning cross-functional teams, I focus on translating ambiguity into clarity and building things that actually move the needle.
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