Puja Raj

Worked on client-focused applications combining Generative AI and modern iOS development. Built iOS workflows for uploading/scanning/processing learning content with PDF, image, and camera inputs, including text extraction and AI-ready processing. Integrated LLM-powered features such as summarization, storytelling, question answering, and quiz generation. Implemented Model Context Protocol (MCP) client-server integration to connect the app with learning-specific AI tools, and supported local LLM experimentation using LM Studio. Designed end-to-end flow from content capture → extraction → AI processing → MCP tools → personalized learning responses, focusing on architecture, reliability, performance, and user experience.

Worked on client-focused applications combining Generative AI workflows with modern iOS development. Implemented mobile features for uploading, scanning, extracting text from PDFs/images, and processing content for AI-based analysis. Integrated LLM-powered features such as summarization, storytelling, question answering, and quiz generation, and designed end-to-end flows from content capture to personalized learning outputs. Integrated Model Context Protocol (MCP) using a client-server architecture to connect the app with learning-specific AI tools. Supported reliability, performance, and user experience improvements through testing, debugging, and production support, including experimentation with local LLM tooling.

Developed and enhanced client iOS applications using Swift, UIKit, SwiftUI, and MVVM. Implemented asynchronous networking and data handling with URLSession, Codable, Combine, and async/await, along with robust error handling and validation. Improved stability and performance through debugging, testing, and refactoring. Collaborated with cross-functional teams to deliver features, resolve production issues, and support TestFlight/App Store releases.