MUQADAS Z.

AI Product Engineer | Custom RAG, Full-Stack Web & Flutter Apps

Many AI applications look incredible as a prototype but completely break down, lag, or rack up massive API bills the moment they hit production. I bridge that gap. I combine a strong foundation in full-stack engineering with cross-platform mobile development and published deep learning research (IEEE Xplore). I don't just write code; I architect production-grade, AI-driven digital ecosystems that scale seamlessly across web browsers and mobile devices. Whether you need a custom RAG pipeline integrated into a multi-tenant dashboard, a secure enterprise API, or a high-performance mobile application powered by edge-optimized AI models, I handle the execution chain from data modeling to final deployment. Core Technical Solutions I Deliver: AI Feature Integration & Advanced RAG: Building intelligent document processors, custom knowledge bases, and LLM pipelines optimized for high accuracy and lower token consumption. Full-Stack Web & Cross-Platform Mobile: Engineering robust, highly responsive web platforms and smooth Flutter applications backed by clean, maintainable system architecture. Model Optimization & Implementation: Translating complex machine learning concepts (TensorFlow, PyTorch) into functional software and optimizing models for fast cloud or edge deployment. System Restructuring & Optimization: Auditing legacy codebases to eliminate performance bottlenecks, optimize database queries, and secure API structures. Featured Commercial & Research Projects: SmartSketchAI: A forensic sketch generation platform utilizing a Django/React stack and Claude API, featuring advanced AI-powered image analysis. Pak Constitution Assistant: A high-accuracy legal AI chatbot utilizing a custom RAG pipeline and vector database to resolve complex, multi-layered queries. CIRO 3.0: A real-time incident coordination platform built with a Python and TypeScript stack, handling multi-source event aggregation. The Technical Stack: AI / ML / DL & Data: Python, RAG Pipelines, Vector Databases (Pinecone/Milvus), LLM Integrations, TensorFlow, PyTorch, Model Quantization. Web & Backend Frameworks: JavaScript/TypeScript (Node.js, React), Python (Django, Flask), PHP, REST & GraphQL APIs. Mobile Development: Flutter, Dart. Databases & Infrastructure: PostgreSQL, MongoDB, MySQL, AWS, Docker, Git, Linux,Render