Realtime AI translation
An on-device translation product built for lower-latency, cross-platform communication with a mobile-first user experience.
Timeline
2025.10 - 2025.12
Role
Cross-platform product development, translation integrations, and Android app delivery.
Outcome
Turned realtime translation into a more usable product flow by balancing latency, clarity, and mobile-first UX.
Overview
An on-device translation product built for lower-latency, cross-platform communication with a mobile-first user experience.
Why it mattered
Live translation only feels credible when latency stays low enough for real conversations across phones, earphones, and responsive web surfaces.
Key decision
Keep the translation experience as close to the device as possible to reduce latency and make realtime use feel believable.
Hard part
Low-latency translation across devices and earphones required careful coordination between product UX and model-powered behavior.
Outcome
Turned realtime translation into a more usable product flow by balancing latency, clarity, and mobile-first UX.
My contribution
Role: Cross-platform product development, translation integrations, and Android app delivery.
Outcome
Tech stack
Product preview
A quick look at the shipped interface and workflow.
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TIA
This case study focuses on the product workflow, technical decisions, and delivery scope rather than a visual screenshot.
Product snapshot
An on-device translation product built for lower-latency, cross-platform communication with a mobile-first user experience.
Implementation notes
Low-latency translation across devices and earphones required careful coordination between product UX and model-powered behavior.
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