Senior AI Engineer at GOSI - General Organization for Social Insurance
Riyadh, Riyadh Region, Saudi Arabia
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Summary
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Rockstar
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Top School
Hassan Fawaz is a Senior AI Engineer and GenAI Tech Lead based in Riyadh with eight years of experience building and deploying production-grade LLM systems and agentic AI solutions across cloud platforms. He holds a PhD in Data Science and AI and has a strong research background in deep learning for time series, evidenced by a popular open-source dl-4-tsc project and peer-reviewed publications. Hassan combines hands-on MLOps and model engineering—fine-tuning LLMs (QLORA, Mistral, LLaMA), benchmarking vector DBs, and running RAG pipelines—with infrastructure expertise in Kubernetes, Terraform, and CI/CD. At GOSI he focuses on secure, in-house ChatGPT-like interfaces and MCP-driven integrations; prior roles scaled ML platforms at Ericsson and led model-driven content moderation and inference optimizations at Besedo. He mentors researchers and engineers, bridges research-to-production, and often applies contrastive learning and quantization tricks to squeeze performance from private-data models. Notably, his academic-to-enterprise trajectory reflects both top-tier research impact and pragmatic deployment of GenAI in regulated environments.
8 years of coding experience
7 years of employment as a software developer
Master 2 Database And Artificial Intelligence, Master 2 Database And Artificial Intelligence at Université Bourgogne Europe
Masters of Engineering Software Engineering , Masters of Engineering Software Engineering at Université Antonine
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Université de Haute-Alsace Mulhouse-Colmar
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