Analytical Layer
In-depth technical evaluations, architecture frameworks, and empirical studies focused on production AI systems, reliability, and engineering trade-offs.
An engineering decision framework for choosing between generative LLMs and deterministic inference in production runtime. Why replacing an explicit knowledge base with stochastic prompts erodes reproducibility and trust, how to structure claim-level provenance, and which objective criteria determine where a foundation model creates genuine value versus unnecessary cost and liability.
An architectural investigation into translating voluminous, structurally complex PDF documents. Why the naive abstraction of "PDF in → translation API → translated PDF out" breaks down across multi-hundred-page enterprise documents, how to structure an intermediate representation (DocumentIR), and why pipeline resumability, checkpoints, and layout reconstruction matter far more than model choice.
An architectural complexity framework for AI workloads: identifying when synchronous execution suffices, and when queues, distributed workers, and durable workflows are genuinely required based on a 12-factor evaluation matrix.