I work at the intersection of product, data and AI — researching problems, translating insights into product opportunities, and building prototypes that make ideas tangible before teams invest heavily in development.
Exploring how technology, data and AI can solve real problems in aviation, payments and beyond.
My career didn't begin in technology. It began in Biochemistry.
I studied Applied Biochemistry because I was fascinated by how things work beneath the surface. Somewhere along the way, that curiosity moved from molecules and experiments to data, systems and technology.
I taught myself data analytics, learned how to turn messy information into useful insights, and eventually found myself working closer to the business and technology teams — translating problems into requirements, dashboards and digital solutions.
Then I discovered Product Management. It brought everything together: research, data, business, technology and people.
Today, I don't just write product documents or talk about ideas. I like to build. I use tools like Python, Streamlit, APIs, AI and data to turn ideas into working prototypes — so teams can see, test and learn before committing significant time and money to development.
My experience sits across digital products, business analysis, research, data and executive delivery — giving me a view of products from both the strategy and execution sides.
Lead coordination and delivery assurance for digital initiatives, working across product, engineering, partnerships and business teams. I support product execution, portfolio tracking, reporting and digital product initiatives including the My T2 Super App.
Supported the Chief Digital & Innovation Officer across digital strategy, product initiatives, technical roadmaps, executive reporting and board/investor materials. Worked closely with teams building digital services including the My T2 Super App and Mango+.
Translated business needs into requirements and technical specifications, contributed to digital reporting solutions, and worked on business intelligence and research initiatives including digital tax systems.
Worked on research, analytics and development consulting initiatives, including Power BI dashboards, data integrity, proposals and programme analysis.
Supported learners in understanding data analysis, analytical thinking and practical data workflows.
Research the problem, users, context and opportunity.
Turn research and data into a clear product direction.
Build enough to make the idea tangible and testable.
Use evidence and feedback to decide what should happen next.
Digital products, mobile services, wallets, gamification and customer-facing digital experiences.
→Business analysis, digital reporting, requirements and technology-enabled public services.
→Research, value-chain analysis, development programmes, monitoring and data-driven decision making.
→AI assistants, dashboards, analytics tools, RAG systems and product prototypes.
→My Innovation Labs are where I turn industry questions into working product concepts using product thinking, data, AI and rapid prototyping.
Manufacturing Risk Intelligence
An AI-assisted decision-support platform designed to help aerospace manufacturing teams identify production risks early.
Aviation Knowledge Assistant
An AI-powered knowledge assistant that helps aviation professionals retrieve and understand information buried inside complex technical documents.
Aviation Operations Intelligence
An operational intelligence platform designed to help aviation teams identify emerging delays, anomalies and operational risks early.
Payment Failure & Reconciliation Intelligence
An experimental payment operations intelligence platform that helps teams investigate transaction failures, anomalies and reconciliation exceptions, with AI explaining the evidence rather than replacing human judgment.
AIPMM · Association of International Product Marketing and Management
CPMEach lab is a personal product space where I explore a real industry problem through product thinking, data and AI. Two are open so far, aviation and payments, and more will follow.
Research, discovery, requirements, roadmaps and product strategy.
Data analysis, dashboards, KPIs, insights and decision support.
RAG systems, AI assistants, LLM workflows and AI-enabled products.
Requirements gathering, process analysis and translating business needs into technical solutions.
Rapidly turning ideas into functional prototypes before full development.
Product documentation, research, technical explanations and structured communication.
I'm interested in product opportunities, research collaborations, digital transformation, AI products and conversations around aviation, fintech and emerging technology.