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Muddsar I
@muddsarbutt
AI Engineer and iOS Developer Chatbots Voice Agents Automation
Canada
Anglais
À propos de moi
I am an AI Engineer and iOS Developer helping businesses build AI-powered systems such as chatbots, RAG systems, AI agents, voice assistants, and automation platforms integrated with CRM and ERP systems. I also help build mobile apps from scratch or enhance existing apps.
I provide complete end-to-end solutions including web apps, mobile apps, and intelligent workflows designed to automate operations and improve efficiency. With 20+ years of experience, I offer a one-stop solution to design, build, and deploy scalable AI systems tailored to your business needs.
Compétences
Muddsar I
hors ligne •
Temps de réponse moyen de 1 heure
Voir mes services
Développement d'applis iOS
I will develop iphone and ipad apps using swift and swiftui
Développement de chatbots d'IA
I will build a custom ai chatbot with gpt rag and automation
Portfolio
Expérience professionnelle
Senior AI Developer
ThinkVerse AI • Temps plein
Apr 2025 - Present • 1 yr 1 mo
Senior AI Engineer specializing in LLMs, RAG, and AI automation. Built production-ready AI systems including chatbots, intelligent assistants, and workflow automation using LangChain, Pinecone, and OpenAI APIs. Focused on scalable, cost-efficient, and high-impact solutions for real-world business use cases.
Senior iOS Developer
Lululemon Inc • Temps plein
Apr 2022 - Apr 2025 • 3 yrs
* Modernized legacy codebase by implementing MVVM architecture and Repository pattern, improving scalability, testability, and long-term maintainability. * Architected and led UIKit → SwiftUI migration using reusable, modular components, accelerating feature delivery and reducing duplication across the MPos ecosystem. * Integrated AI-powered computer vision using Apple Vision framework to enable real-time detection and scanning of barcodes, gift cards, and credit cards, reducing manual input errors and improving checkout speed. * Explored intelligent checkout workflows, leveraging on-device data patterns to streamline scan-to-pay interactions and minimize friction during peak store hours. * Developed a Cybersource payment processing POC, ensuring secure and reliable credit card transactions with extensibility for future AI-driven fraud detection models. *Implemented Apple Tap to Pay via Aurus SDK, enabling secure, contactless transactions directly on iPhone devices. * Leveraged Apple Instruments and performance analytics to monitor runtime behavior, identify bottlenecks, and optimize app responsiveness under high transaction loads. * Evaluated opportunities for AI-driven insights, such as transaction pattern analysis and personalized in-store experiences, laying groundwork for future intelligent retail capabilities.
