Pankaj Kumar Rana

I’m an iOS developer focused on building production-quality, API-driven applications. I specialize in SwiftUI with MVVM, and I’m passionate about turning complex data flows into smooth, responsive user experiences.

I’ve worked extensively with Swift concurrency and networking patterns, including async/await-based API layers, pagination for large datasets, and optimized networking using URLSession. My approach emphasizes reliability and performance—especially through caching and UI responsiveness improvements.

In open source, I contributed to Roboflow’s computer vision library by designing and implementing a production-grade annotation feature (DotMarkerAnnotator). I collaborated through issue-driven development, code reviews, and iterative feedback cycles, and I helped improve real-world annotation workflows and visualization.

My projects reflect the same engineering mindset: MangaReader (async/await networking with pagination, image caching, and lazy loading) and StudyHelper Assistant (real-time Q&A and automated summaries using Apple Foundation Models with persistent chat via SwiftData). I also built an Uber-Clone prototype using SwiftUI with MapKit and CoreLocation, including route mapping and distance-based fare calculation—so I can deliver end-to-end app features, not just UI screens.