Scope
AI search, skill retrieval, NL2SQL benchmarks, LLM serving systems, and capability governance are treated as system surfaces that should be inspected before they are trusted.
I study how LLM-based systems search, expose, retrieve, evaluate, and govern capabilities when they become reusable infrastructure.
How can agent capabilities and search policies be selected, inspected, and evaluated before they become production dependencies?
AI search, skill retrieval, NL2SQL benchmarks, LLM serving systems, and capability governance are treated as system surfaces that should be inspected before they are trusted.
Keeping search policies aligned with changing inventory and evidence conditions.
Evaluating ambiguity when multiple skills expose similar capabilities and must be selected reliably.
Studying how reusable agent capabilities are represented, selected, exposed, and evaluated.
Benchmarking business intelligence services and scaling LLM inference systems.