Samira El-Masri

Design a comprehensive A/B testing framework for LLM features with experiment design, statistical analysis, and LLM-specific considerations.

Build a multi-layer hallucination detection system for RAG with entailment checking, citation verification, and factual consistency scoring.

Analyze embedding dimension reduction techniques including PCA, Matryoshka, and quantization with quality-storage trade-off quantification.

Build a production-grade distributed rate limiter for LLM APIs with token buckets, priority queuing, and burst handling.

Design optimal metadata filtering strategies for vector search with pre/post/hybrid approaches and performance optimization techniques.

Build resilient LLM output parsers with fuzzy matching, LLM-based repair, schema validation, and comprehensive error handling.

Implement distributed tracing for ML inference pipelines with custom attributes, sampling strategies, and ML-specific observability features.

Complete integration guide for adding rerankers to RAG pipelines with evaluation, implementation, optimization, and production deployment phases.

Build a comprehensive model inference cost calculator comparing multiple models with optimization scenarios and monthly projections.

Build a multi-stage query rewriting pipeline with expansion, decomposition, and HyDE techniques to significantly improve RAG retrieval quality.

Design a comprehensive prompt version control system with versioning, quality gates, collaboration workflows, and deployment automation.

Design comprehensive embedding cache warmup strategies with priority analysis, scheduling, resource management, and CI/CD automation.