Situation: Major enterprises across banking, telecommunications, and utilities sectors in Egypt and Saudi Arabia needed to implement Generative AI solutions to modernize their operations and customer services, but lacked the technical expertise and infrastructure to deploy production-ready LLM applications effectively.
Task: Lead the design and delivery of industry-specific GenAI applications for clients across multiple sectors, ensuring scalability, compliance with regional regulations, and measurable business value in production environments.
Action:
Built custom RAG systems tailored to each industry's knowledge bases and regulatory requirements
Developed comprehensive LLM evaluation pipelines with industry-specific metrics and human-in-the-loop validation
Used OCR data extraction systems integrated with LLMs for document processing and analysis
Performed domain-specific fine-tuning using client data while maintaining data privacy and security
Engineered advanced prompting strategies, including chain-of-thought reasoning and few-shot learning
Designed LLM routing systems to optimize performance and cost by directing queries to appropriate models
Deployed multi-modal AI solutions combining text, document, and image processing capabilities
Result: Successfully delivered production-ready GenAI solutions to major enterprises across banking, telecom, and utilities sectors in Egypt and Saudi Arabia. All systems achieved production stability with robust monitoring and automated failover capabilities. The custom evaluation frameworks demonstrated significant improvements in task-specific performance compared to baseline approaches, while OCR-LLM integration dramatically reduced manual document processing requirements across client organizations.