Shuaib Ahmed

About

Built and owned end-to-end production Conversational AI and RAG systems at Nike for customer support and product search, with strong evidence of measurable impact. Combines LLM product thinking with solid platform engineering, including evaluation pipelines, monitoring, safety controls, and reusable FastAPI frameworks that improved both user outcomes and team velocity.

Key Strengths

• Owned end-to-end production Conversational AI system at Nike
• Shipped RAG-based product search assistant with measurable business impact
• Strong production LLM evaluation and monitoring design
• Balanced latency, cost, quality, and safety tradeoffs in deployment
• Improved response accuracy by about 30%
• Increased search CTR on top results by around 20%
• Boosted assistant session engagement by about 25%
• Raised self-service resolution by close to 30%
• Reduced no-results scenarios for long-tail queries
• Built reusable FastAPI ML service framework that accelerated team delivery
• Cut model deployment timeline from 6-8 weeks to 2-3 weeks for another team
• Improved rollout stability during high-traffic product launch

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