Ayoub Cherguelaine

Designed and implemented the full agentic AI architecture, including retrieval agents, classifier agents, and reasoning agents using LangChain and CrewAI. ●​ Built and automated large-scale scraping pipelines to collect, clean, and structure Danish legal cases and laws from official sources. ●​ Developed the complete backend ecosystem using FastAPI (Python), covering: ●​ AI orchestration and RAG pipelines ●​ User authentication and account management●​ Chat session handling with long-term contextual memory ●​ Embedding generation and integration with Pinecone vector DB ●​ Deployed and maintained the platform on AWS EC2, using Docker for containerization, environment isolation, and scalable production deployments. ●​ Designed the end-to-end AI pipeline for processing new client cases, extracting structured facts/causes, enriching data using flight and weather APIs, and handling all edge cases with robust validation and fallback logic. ●​ Built the semantic retrieval and comparison engine that matches new cases with historical European court decisions, analyzing factual and legal similarities using LLMs and embeddings. ●​ Developed the decision-prediction module that estimates likely court outcomes based on historical patterns, structured legal features, and comparative reasoning, improving insurers’ case resolution efficiency.

●​ Developed and improved front-end features for the Admin Platform using Next.js, TypeScript, and Tailwind, including dashboards, forms, tables, and management interfaces. ●​ Integrated and tested APIs across admin workflows, ensuring reliable data flow and improving overall UI/UX performance. ●​ Built key e-commerce features on the main platform such as product pages, category listings, search, filters, cart interactions, and navigation improvements. ●​ Optimized performance and code quality through component refactoring, responsive design, and best practices to enhance speed, usability, and maintainability across both platforms.

- Design and implement custom Odoo modules tailored to meet specific business needs, ensuring seamless integration with existing workflows and systems. - Develop and optimize APIs to enable efficient data exchange between Odoo and other applications, ensuring robust performance and scalability. - Conduct thorough testing of APIs to ensure reliability, security, and functionality, identifying and resolving any issues promptly. - Integrate Apache Superset with Odoo to deliver dynamic, interactive data visualization solutions that empower users to analyze and interpret data effectively.

- Developed an intelligent system using transformer models for the precise and context-aware classification of company documents, significantly improving data organization and retrieval efficiency. - Designed and implemented a classification algorithm that leverages contextual information to enhance the accuracy of document categorization. - Conducted thorough testing and validation of the system to ensure reliability and adaptability to various document types and formats. - Led the development of a user-friendly cloud drive application, integrating measures for safe document storage and providing a seamless interface for easy document management and retrieval.