Confidential mobile app for realtime peer support, secure onboarding and on-device transcription.
Role
My scope
Contributed to a confidential mental-health mobile application for iOS and Android. The product connects users with trained peer listeners over secure audio and video calls. Worked across the full call lifecycle — topic selection, matching, pre-call, active calls and post-call decompression — on top of WebRTC and Socket.io for signaling and session state.
Realtime calling is unforgiving — connection setup, permissions, proximity handling, network drops and call state all have to feel instant and reliable. On top of that, the product operates in an emotionally sensitive, privacy-critical context: transcription must stay on-device, identity must be verified without friction, and safety flows need clear, calm, fail-safe UX.
A reliable, private support-calling mobile app with a smooth end-to-end call experience, on-device transcription, verified onboarding and dedicated safety flows — engineering that stays invisible so the conversation can come first.
Implemented the full call lifecycle — pre-call, incoming, active and post-call screens — on WebRTC, including permissions, in-call proximity handling and graceful recovery from network changes.
Integrated an on-device speech-to-text pipeline driving live transcription, auto-mute and safety cues, keeping audio private on the client.
Implemented role-based onboarding with third-party identity verification and secure storage of user state.
Wired Socket.io signaling with matching, waiting/queue and session lifecycle, coordinating server state through TanStack Query.
Implemented crisis-protocol, immediate-help and decompression flows with calm, predictable UX for high-stress moments.
