01 / APPLIED AI
Conversational experiences
Shaping AI-assisted experiences that help users express intent, get relevant answers and move through a task with less friction.
User journeysConversation design AI PRODUCT · INTELLIGENT SYSTEMS
Making complex ideas work in the real world.
I work at the intersection of product management, applied AI and technology leadership—turning business needs into clear workflows, useful experiences and thoughtful product decisions.
CONCEPTUAL SYSTEM MAP01 / THINKING
◎
User needUnderstand the problem✳
Intelligent systemsDesign useful behaviour⌘
Product workflowsConnect people and tools✓
ValidationTest assumptions and edgesPRODUCT THINKING × SYSTEMS THINKING
01 — PROFILE
Bridging business needs with technology.
My work centres on understanding real user and business problems, translating them into product requirements, and shaping AI-enabled workflows with usability and reliability in mind.
My background spans AI product work, technology operations and business management, supported by an MSc in Computer Science.
AI product managementAgent workflowsLLM applicationsProduct discoveryTechnology leadership
02 — SELECTED WORK
Areas of focus.
A product-first perspective.
A high-level view of the kinds of problems I work on. Examples are intentionally general and avoid exposing employer-specific implementation details.
02 / WORKFLOW DESIGN
Intelligent workflows
Breaking complex journeys into clear steps, decisions, integrations and exception paths that teams can reason about and validate.
OrchestrationSystems thinking03 / PRODUCT LOGIC
Requirements & decision design
Translating business policies and user needs into understandable requirements, decision logic and acceptance criteria.
Product definitionEdge cases04 / QUALITY
AI quality & reliability
Considering how AI experiences should be evaluated, where they can fail, and how product teams can test behaviour systematically.
EvaluationTesting mindset05 / DELIVERY
Cross-functional product delivery
Connecting product intent with engineering execution through clear scope, prioritisation, communication and iterative feedback.
PrioritisationCollaboration06 / TECHNOLOGY
Technology leadership
Bringing operational context to technology decisions, with attention to service continuity, practical constraints and maintainability.
IT operationsPlanningThese summaries describe areas of work, not claims of specific customer outcomes, adoption metrics or release status.
03 — APPROACH
From problem to clear decisions.
Good product work makes the problem, expected behaviour and evidence of success explicit—especially when AI introduces uncertainty.
01 / DISCOVER
Understand
Explore user needs, context, constraints and the problem worth solving.
02 / DEFINE
Specify
Shape requirements, priorities, expected behaviour and acceptance criteria.
03 / DESIGN
Anticipate
Consider system boundaries, ambiguity, exceptions and recovery paths.
04 / VALIDATE
Evaluate
Test scenarios, challenge assumptions and improve from observed behaviour.
Useful over impressive
Start with the user problem and choose technology to fit.
Clarity over assumptions
Make trade-offs, constraints and unknowns visible to the team.
Evidence over hype
Distinguish planned work, delivered capability and measured outcomes.
04 — EXPERIENCE
Product. Business.
Technology.
A mix of AI product responsibilities and hands-on technology leadership.
MAY 2025 — PRESENT
AI Product Manager · BridgeAI
Product requirements and AI-enabled workflow design for a property technology context.
APR 2025 — PRESENT
Head of Technology · SD Commercial
Technology operations, Microsoft 365, infrastructure planning and technical service delivery.
OCT 2023 — APR 2025
General Manager · SD Commercial
Business and operational management.
EDUCATION
MSc Computer Science
University of East London · 2020–2022
05 — CONTACT
Let’s talk about thoughtful technology.
I’m interested in practical AI, product thinking and technology that solves meaningful problems. Connect with me for a professional conversation.
OPEN TO GOOD CONVERSATIONS↗
Good products start with good questions.
AI · Product · Systems · Technology