iOS Architecture & Engineering
SwiftUI, UIKit, Combine, async/await — architecting iOS apps from the ground up or rescuing ones that ship slow, crash often, or scale poorly. App Store launches handled end-to-end.
Senior iOS architect and AI engineering consultant with 12+ years building products used by millions. If your mobile experience or AI system needs to be best-in-class — let's talk.
I'm Arun Nama — Senior iOS Engineer, AI Mobile Architect, and founder of a boutique engineering consultancy specialising in high-stakes mobile and AI product work. Over 12 years, I've architected flagship iOS apps across fintech, healthtech, and enterprise — products used daily by millions of people.
I work at the intersection of native iOS craftsmanship and applied AI. That means SwiftUI performance that rivals the best Apple apps, combined with on-device ML, RAG pipelines, and LLM integrations that actually ship and scale. I don't do demos; I deliver production systems.
Teams bring me in when they need an architect who can spot the flaw in a design review, mentor a mid-level team into senior engineers, and represent technical decisions in the boardroom — all in the same week.
I consult with startups and enterprises that need elite mobile and AI engineering — not agencies, not generalists. Specialists.
SwiftUI, UIKit, Combine, async/await — architecting iOS apps from the ground up or rescuing ones that ship slow, crash often, or scale poorly. App Store launches handled end-to-end.
On-device inference with Core ML, Vision, and Natural Language. LLM-powered features via RAG, streaming APIs, and custom fine-tuned models — built for mobile constraints and user delight.
Defining the technical foundation for multi-team iOS (and cross-platform React Native / Flutter) programmes. Module structure, CI/CD pipelines, and dependency strategies that scale to 50-engineer orgs.
FastAPI and Node.js backends optimised for mobile consumption. AWS, serverless functions, push infrastructure, and sync architectures that keep apps fast even on weak connections.
Production RAG pipelines with hybrid search, semantic re-ranking, and vector stores (Pinecone, Weaviate). Turning LLM prototypes into reliable, cost-efficient products at scale.
Fractional CTO engagements, architecture reviews, and hands-on team mentoring. I work with engineering leaders who need a trusted technical partner — not a consultant who disappears after the deck.
From SwiftUI micro-interactions to distributed AI backends — depth across the entire mobile engineering spectrum.
iOS & Apple Platform
AI / ML
Backend & Cloud
Cross-Platform & Tooling
A handful of engagements from the last three years. Most client work is under NDA — what's shown here is open or public.
A track record built across startups, scaleups, and enterprise programmes — always hands-on, always shipping.
Arun is the kind of iOS engineer you read about but rarely hire. He walked into our codebase, diagnosed a performance problem in 48 hours that our team had chased for six months, fixed it, and then restructured the architecture so it couldn't happen again. He didn't just solve the problem — he made us better engineers.
We brought Arun in to evaluate our AI integration strategy. Three months later we had a production RAG system serving our enterprise clients and an iOS SDK that our sales team uses as a differentiator in every deal. He's the rare engineer who can operate at system architecture level and then write the hardest pull requests himself.
I take on a small number of consulting engagements each quarter. If you're building an iOS product or AI system that needs to be best-in-class — I'd like to hear what you're working on.