Rahma Bradai

Developed an AI-powered VS Code extension to automate the creation, validation, and management of automotive test configurations, combining LLMs, RAG, automation, and full-stack development. Key contributions: • Designed and developed the extension using TypeScript and the VS Code Extension API, with a visual editor and typed data model for automated YAML configuration generation. • Built an AI validation layer combining rule-based/schema validation with LLM-based analysis to detect configuration inconsistencies and provide contextual feedback. • Engineered a RAG pipeline in Python using document chunking, 768-dimensional embeddings with nomic-embed-text, semantic retrieval, and LLM-generated responses. • Integrated a fully local AI stack with Ollama and Qwen3 1.7B, including streaming responses and REST-based communication, keeping confidential technical data on-premises. • Automated hardware discovery with Python to detect connected test-bench devices and automatically populate configuration data. • Developed a Node.js/Express backend with PostgreSQL, TypeORM, and JWT for configuration storage, reuse, and sharing. • Integrated the AI assistant, VS Code extension, Python services, and backend into a complete software solution for automating engineering workflows.

-Engineered a full-stack application with ASP.NET, React.js, and Python, leveraging AI-powered Donut model to automate CRA management and deliver real-time financial insights for consultants. -Designed and implemented AI-driven receipt processing using the Donut model, enabling automated image uploads, OCR extraction, and precise total calculations. -Applied document understanding techniques to intelligently categorize expenses using zero-shot classification, optimize financial tracking, and streamline consultant reporting workflows.

-Developed a dynamic website for DK Soft using using Spring Boot (Java) for the backend and Angular for the frontend, enabling modular and scalable architecture. -Applied MVC design patterns, JWT-based authentication, and role-based access control to ensure secure and maintainable codebase. -Integrated a company-specific chatbot to enhance customer support and improve user interaction.

-Customized a WordPress platform for doctor management with booking and feedback features. -Implemented secure access control and streamlined user experience.

-Created user-friendly interfaces for medication tracking and profile management. -Built a symptom checker chatbot with geolocation to find nearby doctors.

-Led a Flutter project focused on mobile image processing. -Integrated OpenCV for advanced features like filtering and detection.