My immediate goal is to ship a polished, production-ready iOS application that talks to a React/Node.js backend while embedding AI features. The iOS client is the heart of the product, but the work spans the full stack—from tightening Linux server security to refining the machine-learning layer. AI & ML integration I already have working models; what I need now is algorithm optimization. Expect to profile existing inference pipelines, prune or quantize where it makes sense, and document the performance gains. Core ML, TensorFlow Lite, or similar toolchains are welcome as long as the final build runs smoothly on recent iPhone and iPad devices. Full-stack touch points • React/Node.js services that feed data to the app • Secure REST or GraphQL endpoints • Hardening and monitoring on a Linux host (SSH, firewalls, automated updates) Deliverables • Universal iOS build (Swift/SwiftUI or Obj-C) fully integrated with the optimized model • Benchmarked AI algorithm showing measurable speed or accuracy improvements over baseline • Updated backend code and deployment scripts pushed to Git • Server security checklist with changes applied • Clean technical handover notes Quality matters more than speed: readable code, unit tests, and concise commit history are mandatory. If this end-to-end scope fits your expertise, I’m ready to get started right away.