Viva Konnect (Telehealth)
Summary
Built telehealth app with AI chatbot, real-time messaging, and video consultations.
About
Highly accomplished Lead iOS Engineer with over 9 years of experience in building scalable, high-performance iOS applications across healthcare, telehealth, enterprise, and social domains. Proven expertise in Swift, UIKit, and SwiftUI, with a track record of leading iOS teams, architecting modular systems, and shipping production-grade apps that delivered measurable impact, including 40% faster release cycles, 30% latency reduction, and 80%+ test coverage. Adept in real-time systems, Clean Architecture, MVVM/VIPER, and end-to-end CI/CD automation to drive robust and efficient mobile solutions.
Work
Vivance (AWAK Technologies)
|Lead / Senior iOS Developer
Bangalore, Karnataka, India
→
Summary
Led iOS development and architecture for a regulated dialysis-therapy monitoring app, driving significant improvements in performance, quality, and team delivery.
Highlights
Architected and owned the iOS architecture for a regulated dialysis-therapy monitoring application, developing a robust Core Bluetooth stack to ensure reliable real-time device communication.
Engineered and implemented WebSocket + REST streaming solutions for continuous patient vital monitoring, reducing data latency by 30% through strategic pipeline and network optimizations.
Led a 4-person iOS development team, overseeing roadmap, sprint planning, code reviews, and mentorship, which boosted on-time project delivery by 40%.
Developed and integrated Jenkins + Fastlane CI/CD pipelines, accelerating release cycles by 40% and automating manual TestFlight distribution processes.
Achieved over 80% unit and UI test coverage on critical modules using XCTest, while enforcing SwiftLint and Test-Driven Development (TDD) practices across the team.
Optimized UI rendering and background processes, enhancing application stability and reducing frame drops by 30% on low-end devices.
Pace Wisdom Solutions
|Senior iOS Developer
Bangalore, Karnataka, India
→
Summary
Modernized legacy codebases and enhanced application performance and delivery for enterprise iOS applications.
Highlights
Led the re-architecture of 3 legacy Objective-C codebases into Swift with Clean Architecture principles, resulting in a 25% reduction in bug-fix time.
Enhanced app performance by optimizing rendering and networking, which decreased average app load time by 25%.
Successfully delivered 2 enterprise-grade UIKit applications from initial requirements gathering to App Store release, adhering to Agile sprint methodologies.
Agathsya Technologies
|iOS Developer
Bangalore, Karnataka, India
→
Summary
Developed UIKit interfaces and integrated third-party SDKs to expand application functionality.
Highlights
Developed robust UIKit interfaces and integrated REST APIs with two critical third-party SDKs (payments, analytics) to significantly expand application functionality.
Health5c Wellness Solutions
|iOS Software Engineer
Bangalore, Karnataka, India
→
Summary
Built real-time health-data tracking features and implemented security measures for a consumer wellness application.
Highlights
Developed real-time health-data tracking features for a consumer wellness application and implemented two key security measures, including secure local storage and encrypted API transmission, to comply with healthcare data handling standards.
Education
Jawaharlal Nehru Technological University
Anantapur, Andhra Pradesh, India
→
B.Tech
Electronics and Communication Engineering
Skills
Languages
Swift (primary), Objective-C.
iOS
UIKit, SwiftUI, Swift Concurrency (async/await, Actors), Combine, Core Data, Keychain, APNs, Instruments.
BLE & Real-time
Core Bluetooth, WebSockets, REST APIs, Low-latency systems.
Architecture
MVVM, Clean Architecture, VIPER, Modular Architecture, SOLID, Dependency Injection.
Testing & CI/CD
XCTest (unit/UI), TDD, SwiftLint, Fastlane, Jenkins, TestFlight, App Store release.
Tools
Xcode, Git, Firebase, Agile/Scrum.
Projects
Tindop (Social)
Summary
Engineered real-time chat, video profiles, and AI-based matching in Swift + MVVM with a focus on smooth UX.