Summary
Mohamed Shibl is a Lead AI Engineer based in San Francisco with a decade of experience building production-grade AI and full-stack systems across startups and enterprise environments. He specializes in LLMs, RAG, AI evaluation and observability, and has shipped novel products like an SMS/RCS event assistant that disambiguates guests across shared numbers and a contract-analysis pipeline that cut review time from hours to minutes. Comfortable across AWS, GCP, and Azure, he designs scalable infrastructure and instrumentation (Datadog, Promptfoo) to make AI behavior auditable and reliable in production. At BoomPop he led multi-agent systems and vertical AI agents for event planning, and previously built RAG pipelines and vector search infrastructure at Way2B1. He blends hands-on engineering with mentoring and cross-team forums to raise AI quality and developer effectiveness. A rare mix of product-first thinking and deep systems know-how, he often bridges UX, backend, and model-evaluation work to ship measurable business impact.
10 years of coding experience
12 years of employment as a software developer
BSc Communications and Electronics Engineering, BSc Communications and Electronics Engineering at Modern Sciences and Arts University
Master’s Degree Computer Science, Master’s Degree Computer Science at Harrisburg University of Science and Technology
Artificial Intelligence, Artificial Intelligence at Massachusetts Institute of Technology
Master’s Degree International Business, Master’s Degree International Business at Hult International Business School
Computer Software Engineering, Computer Software Engineering at Dev Bootcamp
English, Arabic