Mobile App Development
Design and delivery of production grade applications for iOS, Android and Huawei, including third party integrations such as Firebase, AWS Amplify and payment gateways.
Abdul Aziz
0+
Years Exp
0+
Projects
0+
Clients
Hi, I'm Abdul Aziz
What brings you here?
// Lead Software Engineer with 10+ years shipping
mobile-first products, scalable web platforms and backend SaaS, complemented by AI agents,
LLM powered features and agentic delivery workflows with high performing engineering teams.
// I help founders and product teams plan, build and
rescue mobile apps, web platforms and AI features, from a one-hour architecture call to
end-to-end delivery.
I am a Lead Software Engineer with 10+ years shipping production grade products across mobile, web and backend. I lead end to end delivery from architecture and native bridging to App Store, Play and Huawei AppGallery release, accountable for performance, stability and maintainability at scale.
My core strength is mobile engineering at scale. I ship with React Native, Flutter, Swift and Kotlin, plus Cordova and NativeScript where it fits, and build reusable SDKs that expose native capabilities to cross platform teams for faster, consistent delivery.
Beyond mobile, I deliver full stack web and backend SaaS platforms as primary deliveries: responsive web with React, Next.js, Vue and Svelte; services and APIs in Node.js, Python and PHP; data on PostgreSQL, MongoDB and Supabase; and cloud native delivery on AWS, Cloudflare and GCP with Firebase.
AI complements my delivery. I design agents and multi agent workflows with MCP and tool use, and deliver LLM features including function calling, structured outputs and streaming UX on OpenAI, Anthropic and open weight models, with evals, guardrails and cost and latency budgets. Day to day I run delivery in Claude Code, Cursor and Codex with custom skills, hooks and review loops, and roll out the same agentic workflows for client teams.
Founders & startups: turn an idea into a shippable MVP on iOS, Android and web, with an architecture that won't need a rewrite at the first sign of traction.
Product & engineering teams: add senior hands for a critical module, an SDK, a native bridge, a store launch or a performance problem, then hand it back cleanly documented.
Teams adopting AI: scope and ship LLM features and agent workflows that are measurable and safe, and set up Claude Code, Cursor or Codex workflows your engineers will actually use.
