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Sadir Ahmed Zidan
Junior AI/ML Engineer specializing in LLMs, RAG, and computer vision
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About
AI engineer with hands-on experience shipping production systems across semantic search, RAG/LLM applications, and computer vision. Built a personalized e-commerce search platform with measurable relevance and latency gains, and deployed grounded GenAI chat systems that significantly reduced hallucinations while lowering support burden. Also brings edge-deployment experience in monocular depth estimation and 3D reconstruction, suggesting strong breadth across modern applied AI.
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Key Strengths
- end-to-end ownership of production AI systems
- production semantic search for e-commerce
- 20-30% improvement in top-k relevance
- 30-40% reduction in search latency
- LLM/RAG system design with fine-tuned SLMs
- 40-45% reduction in hallucinated or unsupported answers
- strong grounding and evaluation practices for GenAI
- low-latency AI deployment using FastAPI and Docker
- edge AI optimization for computer vision workloads
- modular Python service design for team reuse
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Experience
Education
Skills
Languages
Publications
2 publications
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