Generative AI FinOps: Architectural Patterns for Token Cost Governance
How enterprise engineering teams can reduce model inference costs by up to 75% using hierarchical model routing, semantic prompt caching, and cost allocation telemetry.
TECHNICAL WRITING · FINOPS FRAMEWORKS · ARCHITECTURAL BRIEFS
Insights & Technical Writing
Published guides, architectural breakdowns, and engineering frameworks on scaling LLMs cost-effectively, orchestrating multi-agent state machines, and enforcing zero-trust AI governance.
FEATURED ARCHITECTURE PAPERS
Designing Multi-Agent Systems: From Autonomous Ideation to Deterministic Execution
Deconstructing why single-prompt LLMs fail in production and how state machine graphs with structured validation barriers guarantee predictable agent output.
Securing Generative AI Workloads: NIST AI RMF in Real-World Enterprise Topologies
A pragmatic guide to implementing agent identity, least-privilege tool execution via Cedar policies, and automated PII sanitization in multi-tenant environments.
ALL WRITINGS & SYSTEM GUIDES 6 Total Articles
Causal AI and Knowledge Graphs: Beyond Pure Semantic Search
Bridging the gap between statistical probability and causal reasoning by pairing graph database structures with foundation model reasoning loops.
Production RAG Pitfalls and How to Solve Them with Hybrid Retrieval
Why naive vector search breaks at enterprise scale, and how combining sparse BM25 indexing, dense vector representations, and re-ranking models restores retrieval precision.
Serverless LLM Voice Pipelines: Achieving Sub-600ms Latency in Healthcare
Architectural blueprint for real-time speech-to-speech agents using Amazon Nova Sonic, WebSocket streams, and serverless orchestration for surgical scheduling.
COLLABORATION & WRITING
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