Realtime AI translation
TIA
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.
The product problem.
Live translation only feels credible when latency stays low enough for real conversations across phones, earphones, and responsive web surfaces.
The decision
Keep the translation experience as close to the device as possible to reduce latency and make realtime use feel believable.
The hard part
Low-latency translation across devices and earphones required careful coordination between product UX and model-powered behavior.
What I owned.
Cross-platform product development, translation integrations, and Android app delivery.
Built responsive product flows across web and mobile surfaces.
Integrated translation capabilities with Gummy and OpenAI.
Delivered an Android experience optimized for live translation with earphones.
What changed.
Turned realtime translation into a more usable product flow by balancing latency, clarity, and mobile-first UX.
Turned realtime translation into a usable product flow instead of a demo feature.
Balanced low-latency behavior with clearer mobile-first UX.
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Pulse Equity
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