Selected work / Product, people & systems
A product that feels complicated. A workflow held together by handoffs. An AI idea that needs a responsible way to work.
Here’s how I turn those challenges into clear decisions, connected experiences and something a team can build on.
From challenge to change
Each story connects the problem, my role and the decisions behind the work.
7 case studies
AI governance & product systems
Independent system · Product, architecture & delivery
When AI can recommend an action, who decides whether it should happen? I designed an operating loop that connects source evidence, human approval, execution and review.
One bounded decision trace, from evidence to audit.
Lifecycle platform strategy
Kalkine · Product strategy & lifecycle
Email, WhatsApp, push, SMS and in-app messages were separate moving parts. I brought the journey, triggers, ownership and measurement into a shared product approach.
A connected lifecycle model across five channels.
Operations & automation
Kalkine · Campaign operations & workflow design
Regional campaigns depended on individual effort and repeated checks. I connected audience rules, reusable templates, quality review and lead routing into a repeatable workflow.
A shared operating library for four regional markets.
Platform strategy & investment discovery
Kalkine · Product direction & delivery
A powerful screening product still needs to feel approachable. I shaped filtering, saved screens, watchlists and research into an investment discovery experience built to grow.
50+ screening parameters connected to a usable discovery journey.
Mobile experience & product direction
Kalkine · Product strategy & UX direction
Useful features had outgrown the mobile hierarchy. I refocused navigation, alerts and watchlist journeys around what investors needed to understand and do next.
Clearer journeys and reusable patterns for future releases.
Conversion & customer experience
Kalkine · Conversion strategy & UX
Interest was there; the value exchange was harder to understand. I clarified the offer, trust signals and path from resource request to the first useful recommendation.
A clearer route from initial interest to recommendation value.
Analytics & information design
StockNextt · Product thinking & UX
Historical recommendations are useful when people can interpret them. I reworked comparison, baselines and context so investors could understand what the figures were telling them.
More useful comparisons, with clearer labels and context.
Visuals explain the approach. Employer work is summarised with confidential details omitted; the independent AI case documents a bounded proof.
Experience behind the work
Innov8Core iOS developer working with the founding team.
Nebula Holdings formerly Malik VenturesProduct and operations across businesses, including Anardana as an early core member.
KalkineProduct direction, investor experiences and connected customer journeys.
Put the thinking to work
Tell me what your team is trying to change and where it gets stuck. We can explore the product decisions, workflow or first step that deserves attention.
