Eman Fatima - AI Agent Engineer | ContraWork by Eman Fatima

Eman Fatima

Eman Fatima

AI EngineerbuildingFullStack,LLM &AIapplicationdevelopment.

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Eman is ready for their next project!

Followed by Muhammad D

Lahore, Pakistan

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Lahore, Pakistan

Built an AI-powered Code Review Agent that automatically analyzes source code, identifies potential bugs and code-quality issues, and generates actionable review feedback and improvement suggestions. I implemented the AI review workflow, backend API, frontend interface, and LLM-powered code analysis to create an end-to-end automated code-review experience.

Built an end-to-end Business RAG Knowledge Assistant that enables users to retrieve relevant information from business documents and generate grounded, context-aware answers using an LLM. Implemented document processing, chunking, embeddings, vector search, retrieval, context handling, source references, and a backend API for reliable AI-powered knowledge retrieval.

Built a PhysioCare AI Voice Receptionist designed to handle physiotherapy-related conversations through a natural voice interface. The assistant can interact with users, understand their requests, and support common reception workflows for a physiotherapy service. The project focused on combining voice AI, LLM-based conversation, and backend/API workflows into a practical healthcare application. Key areas included: AI voice assistant Conversational AI LLM integration Physiotherapy-focused workflows Tool/function calling API integration Backend workflow development Voice conversation flow and testing.

Built a PhysioCare MCP Server that connects an AI assistant with physiotherapy-focused tools through the Model Context Protocol (MCP). The project demonstrates tool calling for physiotherapy use cases, allowing an AI system to interact with structured healthcare-related functions instead of relying only on static responses. Key work included: MCP server development Tool/function calling Physiotherapy-focused AI tools Structured tool inputs and outputs AI-to-tool communication API-based workflow Testing and debugging of MCP tools This project was built as a practical AI Engineering project to explore how MCP can connect LLM-powered applications with real-world domain-specific tools.