Summary
Osama Ghazal is a Senior AI Engineer with 8 years of hands-on experience building production-grade LLM agents, RAG systems, and cloud-native services. At Deriv he architected AMY, a high-volume customer-support agent handling 35k+ daily queries with 96% CSAT and roughly $400k/year in cost savings, and built internal QA automation that covers ~90% of regression scenarios. He specializes in shipping scalable Python/FastAPI services on AWS (ECS/K8s), integrating LangChain/LangGraph and vector stores for robust retrieval, observability, and human-in-the-loop safety. A pragmatic mentor and technical lead, he establishes rigorous evaluation and regression-testing frameworks to keep agentic workflows dependable across frequent model updates. Based in Sepang, Malaysia, Osama combines mobile and backend roots (Flutter and RESTful APIs) with production ML best practices, making him effective at turning experimental GenAI into measurable business impact.
8 years of coding experience
7 years of employment as a software developer
Bachelor's degree Information Technology Engineering (AI Track), Bachelor's degree Information Technology Engineering (AI Track) at Damascus University
English