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Mobile App Developer with less than a year in AI & Mobile Development
Flutter Developer with professional experience shipping production features for a 100M+ user AI-powered learning platform, and currently architecting and shipping a production health-tech app (Flutter, Supabase, PostgreSQL, Razorpay) in active daily use by real users. Full-stack range spanning Node.js, MongoDB, Firebase, and Supabase, with hands-on experience integrating AI APIs (Gemini, Groq Vision) and building real-time, payment-enabled mobile systems. Shipped a published Android app on Google Play Store and is currently building a feature-rich, BLoC/Cubit-architected AI recommendation platform end-to-end from JWT-secured authentication to optimistic UI with real-time sync.
B.N.N. College (A, S & C)
Bachelor of Science · Information Technology
August 1, 2022 – June 30, 2025
Lixta Network
Flutter Developer
April 1, 2026 – Present
Mumbai, Maharashtra, India
Stimuler
Flutter Intern
September 1, 2025 – February 1, 2026
Bengaluru, Karnataka, India
Advance Mobility Pvt. Ltd.
Flutter Intern
May 1, 2025 – July 1, 2025
Mumbai, Maharashtra, India
Cinemora - AI-Powered Cinema Companion App
June 1, 2026 – Present
Designing an AI-powered recommendation engine using onboarding taste-profiling (genre + content preferences) and watch history to surface personalized movie, series, and anime suggestions via a custom backend with Firebase Auth Engineered a JWT auth layer with a Dio interceptor that queues concurrent 401 requests during token refresh eliminating duplicate refresh calls and enabling silent re-authentication without user disruption Implemented an optimistic UI library with real-time cross-screen sync via StreamSubscription, supporting 7 sort options and automatic state rollback on failed API mutations ensuring zero visible errors on network failure Built cross-platform mobile app (Android & iOS) integrating 3 REST APIs (TMDB, Jikan, AniList) across 11 feature modules using BLoC/Cubit clean architecture for scalable state management
View ProjectMedimorphic
June 1, 2026 – Present
Built a cross-platform Flutter health app with dual-role architecture (patient & doctor), integrating Supabase (PostgreSQL + Realtime), Firebase FCM, and Riverpod across 230+ Dart files with row-level security. Integrated Groq Vision API to build an AI meal photo analyzer extracting 7 macro-nutrient dimensions (calories, protein, carbs, fat, fiber, sugar, portion) into a structured JSONB daily-log schema. Implemented real-time appointment management with Supabase Realtime, a 5-state status machine, FCM push notifications, and a 90-day program enrollment engine with per-day task tracking.
Tracket - Real-Time Cricket Scoring Platform
April 1, 2025 – Present
Designed and shipped Tracket, a cross-platform cricket management app on Google Play Store, built with Flutter, Firebase Firestore (real-time sync), Firebase Auth, Google Sign-In, and Riverpod state management across 6 feature modules and 200+ components. Developed a ball-by-ball live scoring engine supporting 5 match formats (T5, T10, T20, ODI, Test) with real-time cloud sync, auto-calculated player statistics (batting average, strike rate, bowling economy), role-based team management (owner / admin / player), and an in-app notification system for match challenges and join requests.
View ProjectCultural Fit Analysis
The candidate's portfolio showcases a strong passion for mobile development, with diverse projects ranging from entertainment (Cinemora, Tracket) to health-tech (Medimorphic). Their involvement in both personal projects and professional internships/roles demonstrates initiative and a continuous learning mindset. The breadth of technologies and problem domains tackled suggests adaptability and a willingness to explore new challenges, which aligns well with a dynamic work environment. The focus on user experience (optimistic UI, silent re-authentication) and robust system design indicates a commitment to quality.
Soft Skills & Operational Fit
The candidate's project descriptions highlight strong problem-solving skills, particularly in engineering complex features like JWT auth layers, optimistic UIs, and real-time scoring engines. Their experience with the full mobile SDLC and zero-downtime releases indicates a good operational fit. The detailed descriptions of project architecture and technical challenges suggest a methodical and thorough approach to development.