Mobile Engineering: 10+ Production Apps Shipped

I build mobile apps that ship to the App Store and Google Play and stay there. React Native is my primary framework, paired with Node.js backends and cloud infrastructure on AWS and Firebase. Every app I build is cross-platform, production-grade, and designed for scale.

Over the past few years, I've shipped 10+ mobile apps across fitness, fintech, health-tech, e-learning, logistics, dating, real estate, and food delivery. Most of them are live right now with real users and real transactions.

Savage Mushroom Fitness — AI-powered gym app with conversational coaching, ElevenLabs voice guidance, pgvector persistent memory, nutrition planning, and Apple Health integration. Live on both stores.

Gate.io Trading App — Crypto and stock trading platform with real-time WebSocket price feeds, candlestick charts, order execution, KYC/AML flows, and multi-currency wallet system. Sub-100ms execution latency.

Alison E-Learning — Mobile experience for one of the world's largest free learning platforms. 50M+ learners, 6,000+ courses, offline learning, certificate tracking, multi-language support. 12M+ app downloads.

Ride-Hailing Platform — Complete Uber-style ecosystem: rider app, driver app, admin dashboard. Real-time geospatial matching with Redis, surge pricing engine, WebSocket location streaming, expanded to 50+ cities.

On-Demand Delivery Platform — 4-app ecosystem (customer, driver, restaurant, admin) with real-time order tracking, route optimization, and payment processing.

Food Delivery Platform — 3-app system with live order tracking, driver dispatch, restaurant management, and analytics dashboard.

AI Dating App — Voice-first dating platform with WebRTC real-time voice chat, AI-powered matching engine, NLP conversation starters, and dual verification (photo + voice).

AI Skincare Scanner — Computer vision app using TensorFlow Lite for on-device face scanning, skin condition detection, and personalized routine recommendations. Sub-2-second scan latency.

Real Estate Property Finder — Map-based property search with Elasticsearch, advanced filtering, saved searches, and agent messaging.

Real-time systems: WebSocket, MQTT, and WebRTC implementations across trading, ride-hailing, and voice chat apps

On-device ML: TensorFlow Lite models running inference directly on mobile for sub-second response times

Geospatial engineering: Redis geospatial indexes for driver matching, geo-fencing for service areas, map-based property search

Payment infrastructure: Stripe, Plaid, in-app purchases, multi-currency wallets, subscription billing

Wearable integration: Apple HealthKit sync for fitness data

Performance at scale: Apps handling millions of users, 200+ concurrent trading pairs, 99.99% uptime

Mobile: React Native (iOS & Android)

Backend: Node.js, PostgreSQL, MongoDB, Redis, Firebase

Cloud: AWS (EC2, ECS, S3, Lambda, SQS, ElastiCache, CloudFront)

APIs: REST, WebSocket, GraphQL

Payments: Stripe, Plaid, in-app purchases

AI/ML: OpenAI API, TensorFlow Lite, pgvector

Design: Figma

I handle the full lifecycle: architecture, UI/UX, frontend, backend, API integrations, cloud infrastructure, App Store and Play Store submission, and post-launch support. One developer, full stack, no handoff gaps.