Abdellahi Heiballa

Led the design and evolution of a custom ML platform for legal document analysis. Developed an intelligent chatbot solution and expanded the system with supervised and rule-based ML models for document classification, entity extraction, and semantic analysis. Trained and optimized NLP models to extract people, organizations, roles, and relationships from large volumes of legal text. Mentored a team of 4 developers, overseeing model pipelines, system architecture, and production deployment.

Designed and delivered a production-grade AI system for government services enabling intelligent document analysis and conversational access to unstructured data. Built NLP pipelines for 'chat with PDFs' using semantic search, embeddings, and document classification. Developed AI-driven automation tools for social media caption generation, improving operational efficiency and content consistency. Deployed scalable backend services and ML models powering real public digital services.

Contributed to the development of a virtual court web application for online legal dispute resolution. Implemented backend services supporting digital judicial workflows and early automation features.