Kuldip Thakkar
I’m Kuldip Thakkar, a Mobile App Developer with 4+ years of experience building production-grade iOS and React Native applications.
About
I’m Kuldip Thakkar, a Mobile App Developer with 4+ years of experience building production-grade iOS and React Native applications. I specialize in Swift and React Native with MVVM and modular, reusable component-driven architectures, and I enjoy turning complex product requirements into stable, high-performance mobile experiences.
Over my career, I’ve worked on feature-heavy apps such as food delivery with authentication and real-time order tracking, an iOS rider community app with live group rides and route sharing, and a React Native reel-style social media app with optimized lists and smooth media playback. I also build energy-management and AI-powered experiences (including ChatGPT-based recommendations), and I continuously improve reliability and performance using tools like Instruments and strong coding practices.
- 4 years' experience
- Joined September 2026
Languages
- GujaratiAdvanced
- HindiAdvanced
- EnglishAdvanced
Industry experience
- Software & Internet
- Energy & Utilities
- Media & Entertainment
- Healthcare
- Retail
More experts in Ahmedabad, India
Work experience
Built and maintained iOS and React Native features across multiple production apps. Developed authentication, booking, and real-time order tracking using MVVM, including secure credential handling and FaceID/TouchID-based login. Created reusable UI components to improve delivery speed and worked on live ride tracking experiences with maps, route sharing, rider tracking, custom overlays, and interactive animations. In React Native projects, implemented reel-style vertical feed navigation with likes, comments, follow system, personalized feeds, and optimized list rendering and media playback. Contributed to an energy management app by visualizing electricity and gas usage and costs in charts/tables, adding engagement features (forum posts, chats, challenges, heat maps, badges, and leaderboards), and integrating ChatGPT API for personalized energy-saving tips based on user usage data. Debugged memory and performance issues using Instruments and supported code reviews, bug fixing, and refa
Education
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