
Arumugapandi P
Senior Application Developer
Habilidades

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Portfólio
Experiência profissional
Senior iOS application Developer
IBM • Período integral
Aug 2025 - Present • 11 mos
Working as an iOS application developer
Senior Systems Engineer
Aspire365 • Período integral
Feb 2022 - Jul 2025 • 3 yrs 5 mos
Served as lead iOS developer for standalone applications, driving SwiftUI migration efforts while owning technical estimation and mentoring within the iOS team. — iOS App Development & SwiftUI Migration Leadership Led development of multiple standalone iOS applications, owning architecture decisions and feature delivery end-to-end. Drove SwiftUI migration initiatives across projects, moving legacy UIKit codebases toward modern, maintainable SwiftUI implementations. Handled project estimation for new iOS work and built internal reusable Swift frameworks adopted across multiple product teams, improving development speed and code consistency. — Technical Mentorship & Hiring Mentored junior iOS developers on architecture, code quality, and best practices. Interviewed 25+ iOS candidates as part of the technical hiring process, helping shape the team's engineering bar for native iOS development. Swift, SwiftUI, UIKit, Xcode, MVVM, Team Leadership, Technical Interviewing
Senior Systems Engineer
Infosys • Período integral
Aug 2019 - Feb 2022 • 2 yrs 6 mos
Developed multiple native iOS applications using Swift and Objective-C across healthcare, banking, and transportation domains, while also exploring emerging technologies through proof-of-concept work. — iOS App Development & Secure Integrations Built and maintained iOS applications using Swift and Objective-C, integrating payment systems including Apple Pay and Amazon Pay, and implementing OAuth-based secure authentication for user login flows. Managed the full release lifecycle, deploying apps via the App Store and TestFlight for both internal testing and public distribution. — Emerging Technology Proof-of-Concepts Built proof-of-concepts using ARKit, CoreML, and MLKit to explore image-recognition-based features, including asset identification and length calculation between physical objects using device camera input. This work fed into evaluating feasibility for AI-driven features later adopted in client projects. Swift, Objective-C, Apple Pay, Amazon Pay, OAuth, ARKit, CoreML, MLKit, App Store Deployment