In use
A translator between teams
What the engineering team is doing is hard for other teams to follow. I designed an environment that translates each person's code output, so anyone can pick up the context without technical knowledge.
Improving work with AI
An era where what comes out fast is a working prototype, not a static screen. I delegate repeating work to AI and keep improving it at the individual, squad, and company level.
In use
What the engineering team is doing is hard for other teams to follow. I designed an environment that translates each person's code output, so anyone can pick up the context without technical knowledge.
In use
Daily scrums, backlog items, customer issues and milestones are collected from Slack and extracted automatically so none of them go missing. It removes the manual sorting and keeps the process sustainable.
In use
Every term that gets added has to be matched across seven languages, not one. I built a process where the system, not a person, translates what is missing and keeps terms that already exist consistent.
In use
A spec that actually runs, and a prototype at the same time. Internal staff use it before anything reaches customers, so we can check whether a feature works, and it is designed to be the admin the training team uses in real work.
In use
Scattered records are grouped by property, so they become information the team can actually use for customer support and training.
In use
User OS, screen size and mobile environment become the analytics foundation for product decisions. I built a pipeline that collects what we need through Clarity, GTM and GA4.
In use
PRDs, policy documents and screen specs are kept in one place. Slack threads and Notion pages are cross-checked so every requirement has a source on record. At feature kickoff it is what we open to settle policy and see the prototype concept.