In-house product tools
I build in-house tools similar to Jira and Confluence, shaped around the product team’s work.
SELECTED WORK / PRODUCT · QUALITY · BUILDING
The problem, my contribution and the decisions behind the output.
01 / HANGİKREDİ / AI TRANSFORMATION
AI transformation extends beyond introducing a tool. Product work also needs systems for planning, documentation, ideas, productivity and day-to-day AI use.
As an AI Product Owner at HangiKredi, I lead AI transformation across the product team. I build the tools and systems that make the team’s work easier, and support adoption through AI use and training.
WHAT I BUILD & ENABLE
I build in-house tools similar to Jira and Confluence, shaped around the product team’s work.
I build a dashboard to make project management more visible and easier to follow.
I build tools and workflows aimed at reducing repetitive work and making the team’s daily work easier.
I work on systems that support idea generation, suggestions and turning contributions into product value.
I support the team’s use of AI through training and by bringing AI tools into everyday product work.
The starting point is the team’s need. I build the internal product that helps address it, rather than limiting the work to one type of tool.
PUBLIC WALKTHROUGH / REPRESENTATIVE CONTENT
This habit-tracking example demonstrates the method. It is not an internal HangiKredi document or a company performance result.
INPUT / BEFORE GENERATION
Clarify the unit, week boundary and completion rule. A polished sentence is not yet a complete requirement.
STRUCTURE / PRODUCT DEFINITION
REVIEW / TESTABLE BEHAVIOUR
OUTPUT / REVIEWABLE WORK ITEMS
DEMO-01Weekly goal setupValidation & persistenceDEMO-02Reading log & progressSave, edit, recalculateDEMO-03Calendar boundary testsLocal date & week transitionIn this workflow, PRD, analysis and backlog become parts of one reviewable product story. It is one example of the wider transformation work, alongside internal tools, dashboards, productivity and training.
02 / LUMIAN LABS / HABITARIAN
Through Lumian Labs, I build Habitarian: habit tracking, consistency, XP and social challenges. My work connects product concept, experience design, premium journeys and release preparation.
A UTC date and the device’s local calendar date can be different. If completion feedback uses one and streaks use the other, the same action can belong to two different days.
The project’s completion/streak review records a shared local-date helper being used across completion feedback, app-open streaks, retention milestones and insight ranges.
That is a consistency rule across the experience, not just a formatting change.

EXPLORE THE EDGE CASE / CALCULATED IN YOUR BROWSER
The example illustrates the documented date-boundary issue. It does not connect to a user account or production data.
The same review documents two existing protections: a client-side in-flight guard and a database condition preventing XP from being awarded twice. The review separates behaviour that needed changing from behaviour already protected.
The documented correction brings the affected flows onto the same local-day rule. Completion feedback, streaks and insights can refer to the same calendar day.
03 / QUALITY & RELEASE
My product work includes acceptance-criteria validation, QA/UAT coordination, issue tracking and release readiness. At ICRON, I also worked on test strategy, performance testing and release management.
A release decision that shows what has been checked, what remains uncertain and who owns the next action. An automated check is not a substitute for a real-device or business-acceptance check.
Scope, environment and critical user journeys.
Known issues, product risk and explicit owners.
Release conditions, follow-up and rollback questions.
A useful next conversation