Large Gmail inboxes are slow to triage one message at a time, but the data is deeply personal. The product needed to speed up cleanup without taking control away from the user or sending analysis off-device.
02On-device AI product
On-device AI that helps people reach Inbox Zero faster.
I took MailBoom from product direction and experience design through engineering and App Store launch. It turns inbox cleanup into a guided review-and-archive workflow, with on-device AI and reversible actions that keep users in control.
- Live iOS product
- On-device AI
- Local analysis
- Reversible workflow
As founder and principal product engineer, I owned the product direction, experience design, architecture, engineering, validation, release controls, and launch.
MailBoom connects through secure Google OAuth, groups messages by sender, and runs AI categorization and summaries locally on-device. Users review Keep or Archive recommendations before applying reversible label changes; search and background processing support large inboxes.
Shipped on the App Store with local analysis, review before action, and reversible archiving. The product brings interface design, Google integration, on-device intelligence, and release controls together around one everyday problem.
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