iOS systemsAI toolingreverse engineeringcloud-native apps

Engineer

Yazan Al Khatib

I build native-feeling apps, intelligent systems, and security-minded tools across Apple platforms, cloud infrastructure, and applied AI.

04
core domains
30+
tools in daily orbit
02
human languages

Tech orbit

Tools moving through the same system

Native Apple work, low-level languages, ML tooling, cloud infrastructure, and frontend systems sit in one practical stack.

Swift SwiftUI Objective-C C C++ Rust Python TypeScript React Astro Next.js Tailwind CSS Three.js Metal PyTorch Hugging Face JAX FastAPI MySQL MongoDB SQLite Docker AWS Azure Cloudflare Linux Git Figma

Build surface

What I like putting under my hands

  • SwiftSwiftUICoreML
    • I build iOS and macOS apps that feel native, fast, and intentional.
    • I work close to platform behavior: instrumentation, app internals, launch flows, analytics, and payments.
    • I care about the last mile: App Store details, accessibility, performance, and trust.
  • ReactTypeScriptPyTorch
    • I ship web apps with React, Astro, Next.js, and TypeScript, with interfaces that stay fast under real use.
    • I connect product UI to APIs, data stores, and AI services without hiding complexity in brittle glue code.
    • I prototype useful LLM and ML features with PyTorch, Hugging Face, and pragmatic evaluation loops.
  • LinuxDockerCloudflare
    • I use Linux, Docker, AWS, Azure, and Cloudflare to keep systems deployable and observable.
    • I enjoy reverse engineering and vulnerability analysis because it reveals how software behaves under pressure.
    • I prefer systems that are easy to inspect, easy to recover, and hard to misuse.

Operating system

How I think, build, and collaborate

  • native UXsystemsperformance
    • Apple platforms are my center of gravity: SwiftUI, Objective-C, app internals, and CoreML-backed interactions.
    • I use Linux and cloud systems to keep product work reproducible, observable, and easy to ship.
    • The best interface is usually the one where the hard engineering disappears from the user's hand.
  • reverse engineeringLLMsdebugging
    • I enjoy taking software apart until the real behavior is visible.
    • I build AI features with a bias toward evaluation, constraints, and clear failure modes.
    • When something breaks, I want evidence: traces, logs, repros, and small experiments.
  • EnglishArabicFrench
    • I work across English and Arabic, and I am learning French.
    • I like teams that write down decisions, expose assumptions, and move quickly without hiding risk.
    • Mentoring, workshops, and community work matter because software is still a people system.

Let's talk

Send signal. Build something real.

Useful projects, research ideas, Apple-platform work, AI tooling, or security-heavy product problems belong here.

Contact
Short brief is enough. Details can come later.