Technical writing, research syntheses, and experiments at the intersection of enterprise software, machine learning, and autonomous agentic workflows.
Engineering Autonomous Agents with Deterministic Guardrails
Examining how to build reliable production systems on top of probabilistic LLMs using structured output schemas, state machines, and fallback policies.
Optimizing RAG Pipelines for Enterprise Knowledge Retrieval
Practical strategies for chunking, hybrid keyword-vector retrieval, reciprocal rank fusion, and reranking across enterprise documentation corpora.
Bridging Enterprise Reliability and AI Innovation
How lessons from enterprise production change management (Java, Unix, relational integrity) apply to deploying reliable generative AI workflows.