Articles

Technical deep dives on RAG, LLM systems, AI architecture, and production deployment. Published on Medium and Dev.to.

Building Production RAG: Cost Optimization Strategies

How to reduce RAG pipeline costs by 66% without sacrificing quality. Practical strategies: prompt caching, embedding model selection, batch processing, and cost-per-query optimization. Includes real numbers from production deployment.

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Evaluating RAG Systems: Beyond Automated Metrics

Why ROUGE and BERTScore fail for RAG evaluation. The case for human-in-the-loop validation, building labeled datasets, and continuous monitoring. Covers uncertainty sampling and production evaluation strategies.

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Conversational AI in Healthcare: Domain-Specific Challenges

Lessons from building health insurance chatbots. PII handling (HIPAA), regulatory compliance, conservative response strategies, and maintaining accuracy in regulated domains. Real examples from production deployment.

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Architecture Lessons from 20 Years: Systems Thinking at Scale

Evolutionary lessons building systems from monoliths to microservices to serverless. Why governance matters. Why cost is architecture. Why observability is a first-class concern. Examples from Yale and enterprise systems.

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Hybrid Retrieval for RAG: Semantic + BM25 Search

Why semantic search alone isn't enough for domain-specific RAG. How to combine vector similarity with keyword matching (BM25) using reciprocal rank fusion. Benchmark results showing 8% accuracy improvement.

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LLM Prompt Engineering: Best Practices for Production

Techniques that work in production: few-shot learning, chain-of-thought prompting, output formatting, and temperature tuning. How to design prompts for consistency and cost optimization. Examples from health insurance domain.

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