Senior Mobile App Developer with over 7 years of experience in designing, developing, and deploying a
diverse portfolio of over 10 applications across the E-Commerce, Automotive, Fintech, and Pharmaceutical
sectors. Proficient in both native iOS (Swift, SwiftUI, Objective-C, UIKit) and cross-platform development
(Flutter, React Native), with a proven track record of creating robust, scalable, and reusable codebase.
Key Expertise:
• iOS Development: Deep experience with Swift, SwiftUI, Objective-C, and UIKit. Skilled in using the
Combine, A VFoundation, and Speech Framework for comprehensive media and speech-related
functionalities, including Text-to-Speech (TTS) and Speech-to-Text (STT).
• Frameworks & Libraries: Expert in creating iOS frameworks (SDKs), Flutter plugins, and React
Native libraries to streamline development and promote code reusability.
• . Advanced Features: Skilled in implementing Server-Driven UI, integrating IoT Bluetooth
connectivity with Core Bluetooth, and deploying machine learning models on-device (mlmodel to
load) to enhance app functionality.
• . White Label Apps: Experienced in developing white label applications for custom iOS devices.
• . Hybrid Development: Proficient in Flutter and React Native, with a strong understanding of state
management using Provider and Block.
• Collaboration: Recognized for excellent teamwork and communication skills in fostering
collaborative project environments.
AI/ML-Based Retail Store Audit App Product Sorting & Voice-Controlled Inventory Management
Performance Optimization & Scalability
• Designed and developed an AI-powered iOS app for retail store audits, leveraging Apple's Core
ML framework for real-time image classification and super-resolution.
• Implemented camera-based data collection to capture frames, process images, and extract key
insights using custom-trained AI models.
• Optimized on-device ML models for low-latency inference and efficient performance using Core
ML, Vision, and Metal frameworks.
• Developed a voice-enabled product sorting app using Apple Speech Framework to recognize
spoken commands, sort items into specific containers, and generate inventory slips.
• Integrated speech recognition & text-to-speech (TTS) for seamless hands-free inventory
management using Apple's Speech framework.
• Enhanced user experience and operational efficiency by automating inventory tracking and receipt
generation via speech and vision-based inputs.
• Optimized AI model performance for on-device processing, reducing inference time using
quantization & model compression techniques.
• Implemented real-time image processing pipelines with multi-threading (GCD, OperationQueue)
to ensure a smooth user experience.
Worked on White Label E-Commerce App of Plobal Apps which was used for more than 400 clients of Shopify
Plobal Apps is also an Shopify premium Partner.
Worked for Mahindra & Mahindra on contract of GenNext PLM Pvt Ltd payroll. Creating and maintaining iOS Apps of Mahindra & Mahindra.
App Worked on:-
MVC & MVVM Architecture
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