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Shehab mohamed mohamed
Junior AI Engineer specializing in MLOps, LLMs, and multi-agent systems
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About
ML/AI engineer focused on production-grade systems, with experience building a low-latency multi-agent 'neural concierge' booking platform used across domains like restaurants and hospitals. Also worked on a healthcare computer vision system for nystagmus/eye-movement analysis, showing a mix of scalable LLM infrastructure, MLOps, and safety-conscious medical AI experience.
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Key Strengths
- End-to-end production ML/AI system design
- Low-latency multi-agent orchestration for booking workflows
- Scalable MLOps and microservices architecture
- Strong deployment and observability practices
- RAG-based LLM systems optimization for speed and cost
- Python service design for internal engineering teams
- Clinical computer vision application development
- Safety-aware ML design with confidence thresholding and human review
- Production iteration based on real-world behavior
- Cross-domain AI experience spanning SaaS booking and healthcare
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