Projects using React Native in San Francisco

Projects using React Native in San FranciscoProjects using React Native in San Francisco

Cover image for Airhealth helps people monitor indoor

Airhealth helps people monitor indoor air quality and control their purifier. The redesign shifts from control-first to status-first making air quality legible at a glance.

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Cover image for Built a Multi-Role EdTech LMS (500K+ Users, 47 Countries) us...

Built a Multi-Role EdTech LMS (500K+ Users, 47 Countries) using React Native Designed and developed a multi-role Learning Management System (LMS) for a global EdTech platform, serving 500K+ students across 47 countries. The platform supports students, guardians, and center administrators with real-time progress tracking, adaptive learning workflows, and offline-first functionality. Built using React Native with a single codebase, reducing development time while ensuring scalability, performance, and seamless cross-platform experience.

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Cover image for Campuswave

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Cover image for MILOUPAW, PROFESSIONAL AND RELIABLE PET CARE SERVICES

MILOUPAW, PROFESSIONAL AND RELIABLE PET CARE SERVICES

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Cover image for Flux - Mobile App

Flux - Mobile App

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Cover image for MangoShop Mobile —React Native E‑Commerce

MangoShop Mobile —React Native E‑Commerce Platform

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Cover image for Founding Engineer at a Pet-Tech Startup

Founding Engineer at a Pet-Tech Startup

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Cover image for fullcircle ™

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Cover image for Peasomy is a React Native

Peasomy is a React Native property operations and booking platform that unifies property discovery, listings, bookings, payments, and in-app communication. It provides role-based tools for Owners, Agencies, Cleaners, and Security to manage properties, track bookings, revenue, and operations. By centralizing workflows, Peasomy reduces operational friction, improves booking conversion, and helps property businesses scale efficiently.

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Cover image for Affinity Mobile App

Affinity Mobile App

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Cover image for RailRadar is a real-time train detection and arrival predict...

RailRadar is a real-time train detection and arrival prediction system built for communities impacted by rail crossings. Using a distributed network of camera-based tripwire sensors, RailRadar detects train movements at the edge and generates bias-corrected ETAs that adapt to real-world conditions. The system delivers timely, reliable alerts without relying on railroad-provided data or centralized tracking feeds. RailRadar is designed for resilience and accuracy in the field. The platform supports community alerts, operational monitoring, and future integrations with municipal and transportation systems. This project includes full-stack system design, edge sensing logic, backend services, alerting infrastructure, and deployment workflows focused on real-world reliability, not demos.

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