Aditya Rai

I've led development and scaling of the ZoFit.ai iOS app, improving stability, performance, and user experience. I optimized API, image-loading, and UI rendering pipelines to reduce perceived latency by about 90% across key user flows.

I own iOS architecture decisions using MVVM, build networking and caching layers, and refactor code for scalability. I collaborate with backend, design, and product teams through feature branches, code reviews, production debugging, and iterative optimization.

I've also built subscription flows with StoreKit, integrated Core ML and Vision for food and item detection, and shipped apps through TestFlight and the App Store. My work spans SwiftUI, UIKit, REST APIs, Firebase, RevenueCat, testing, and performance profiling.

In personal projects, I'm building Relyvo, an offline-first peer-to-peer communication app with store-and-forward messaging, nearby-device discovery, location sharing, walkie-talkie communication, and speech transcription. I also built NutriScienceAI, combining nutrition tracking, Gemini API integrations, Core ML, Vision, HealthKit, and subscription workflows.