I lead 0-to-1 and enterprise SaaS products across AI, energy and fintech, from discovery through adoption.
I work at the seam between customer need, business value, and engineering reality.
Four case studies showing how I find the real constraint, align teams, design operating systems, and measure what changes after launch.
A 0-to-1 product that turns fragmented government permit records and live jobs into practical decisions for candidates and employers.
Use official permit history as the trust layer, then connect it to live jobs and decision tools.
4,500+ candidates and a new verified employer product.
A production AI workflow that separated extraction from validation and sent uncertain results to focused human review.
Use AWS Textract for extraction, OpenAI for structured validation, and human review below the confidence threshold.
95% accurate document processing and 80% less processing time.
A platform redesign and delivery system that moved enterprise customers toward deeper operational use across web and mobile.
Prioritize adoption and stability together, using Amplitude evidence and structured release gates to guide delivery.
84% session growth with 100% logo retention.
A research-backed product case study that turns an omnichannel retail strategy into a practical system for prioritisation, delivery, measurement, and continuous improvement.
Protect capacity for strategic change inside one transparent BAU cycle, with a separate fast lane for genuine live incidents.
A complete operating model covering prioritisation, release governance, measurement, and a 90-day adoption plan.
Product management is a decision system. I use evidence to narrow ambiguity, make the trade-off visible, and give teams a clear reason to build.
Start with observed friction, production evidence, and the people closest to the problem.
VisaJobs started with a repeated job-search failure, not a feature idea.Define the user and business change before deciding what belongs in the roadmap.
Bill Reader success was defined through accuracy, time saved, and trusted financial fields.Translate customer needs into clear decisions, acceptance criteria, and technical trade-offs.
Extraction, validation, and human review were separated by what each method did best.Measure whether customers are moving beyond access into meaningful product behavior.
Amplitude evidence shifted Watt Footprint priorities toward depth of enterprise use.Treat real failure modes, support signals, and adoption patterns as inputs to the next release.
VisaJobs expanded into an employer product after inbound demand exposed the second side.A compact view of the product work I am strongest at, with evidence from the portfolio rather than a long technology inventory.
Turn an observed problem into a focused product, a trust model, and a path to adoption.
VisaJobs IrelandDefine where AI helps, where it fails, and where human judgement belongs in production.
Bill ReaderMove customers from access and pilots toward repeatable workflows that create operational value.
Watt FootprintMake prioritisation, capacity, release quality, and learning visible across teams.
Digital BAU modelWork fluently with engineering on architecture, data quality, risk, and delivery trade-offs.
Bill Reader and platform deliveryMy product work spans 0-to-1 discovery, enterprise adoption, AI workflows, and regulated payment infrastructure.
VisaJobs Ireland
Building a data product that helps international candidates and Irish employers make visa-sponsorship decisions with evidence.
Watt Footprint
Owned product delivery for an enterprise energy platform across billing, analytics, onboarding, and international expansion.
Speeir
Led two early-stage products from concept to production across AI search and multi-tenant fitness management.
Mastercard
Built event-driven payment systems and developed the technical depth I now use to make better product trade-offs.
I started in software engineering and moved into product because I was most interested in why a system should exist, who it should serve, and how we would know it worked.
That foundation helps me work closely with engineers without turning technical complexity into the product strategy. I connect architecture, customer behavior, and commercial goals into decisions a team can act on.
Scrum.org
93.8% score, March 2026Technological University of the Shannon
First Class Honours, 2024Technological University of the Shannon
Honours degree, 2021I am based in Dublin and interested in Product Manager opportunities across Ireland and the EU.
