Full-stack mobile platform built for field service teams operating in remote locations. Offline-first architecture, optimized APIs, automated pipelines — engineered for reliability at scale.
Built enterprise iOS applications using Swift, Objective-C, and UIKit to support a distributed workforce of field technicians. The platform handled complex scheduling, work order management, and real-time data capture across multiple service territories.
Implemented robust offline data synchronization using Core Data and REST APIs. Technicians in remote locations with unstable or nonexistent connectivity retained full application functionality — queuing mutations locally and reconciling state on reconnection with conflict resolution logic.
Designed API layers with ASP.NET Web API and optimized SQL Server performance through targeted indexing strategies and stored procedure refinements. Reduced average query response time by 24% while supporting 50% more concurrent users without additional infrastructure.
Scheduled automated data processing workflows using Python, Flask, and Celery to offload heavy computation from primary APIs. Enabled overnight batch processing of large datasets, reducing peak-hour load by 30% and improving daytime responsiveness for field users.
Standardized mobile release processes by implementing Docker, Jenkins, and Fastlane. Eliminated configuration errors entirely and cut 15 hours of manual deployment effort from each release cycle — enabling the team to ship with confidence on a predictable cadence.