April 13, 20268 min readAI Evaluation
How to detect quality drift early with evaluation regression alerts tied to release gates.April 12, 20268 min readLLM Cost
Reduce LLM spend with routing, caching, and prompt compression while preserving answer quality and user trust.April 12, 20268 min readAI Security
A hardening checklist to reduce prompt injection, tool abuse, and unsafe output propagation in agentic AI systems.April 11, 20268 min readMultimodal RAG
A production playbook for multimodal RAG systems handling PDFs, screenshots, and structured tables with grounded answers.April 11, 20268 min readSynthetic Data
Design a synthetic data pipeline that improves model quality without poisoning production behavior or violating governance constraints.April 10, 20268 min readAgent Evaluation
How to operationalize an evaluation flywheel for AI agents with release gates, regression suites, and business-aligned quality signals.April 10, 20268 min readInference Engineering
A practical serving blueprint for vLLM in production: routing, KV cache strategy, concurrency limits, and latency SLO management.April 8, 20262 min readLLM Observability
A production LLM observability stack for tracing prompts, measuring response quality, controlling token spend, and reducing incident time.April 7, 20262 min readAgent Architecture
A decision framework for agent architecture: when to use router-worker, planner-executor, graph orchestration, and deterministic guardrails.April 6, 20262 min readAI Governance
A practical enterprise AI governance framework for policy enforcement, risk scoring, model lifecycle controls, and auditable releases.March 28, 20261 min readRAG
The practical stack I use for enterprise RAG: retrieval quality, observability, eval loops, and guardrails.March 20, 20261 min readMLOps
A compact checklist to ship ML systems safely: data contracts, CI/CD, model registry, drift alerts, and rollback strategy.March 10, 20261 min readAI Strategy
Beyond vanity metrics: the KPIs that prove AI delivers business value in enterprise environments.