The Five Core Layers of Modern Software Architecture: Beyond the Monolith
A technical source audit analyzing software architecture patterns, comparing N-tier layered systems, hexagonal ports-and-adapters, event-driven CQRS, and service meshes.
LATEST INVESTIGATIONS
A technical source audit analyzing software architecture patterns, comparing N-tier layered systems, hexagonal ports-and-adapters, event-driven CQRS, and service meshes.
A source audit analyzing the LLM Engineer’s Handbook, deconstructing the four core LLMOps pipelines: Data collection, Fine-tuning, RAG serving, and Evaluation.
An architectural audit of LMSYS RouteLLM, evaluating preference-based model routing, matrix factorization, BERT classifiers, and cost-quality Pareto optimization.

A source audit evaluating open-source data science curricula on GitHub, analyzing structured learning paths, reproducible notebook workflows, and project sandboxes.

A source audit evaluating optimal negative subsampling for extreme class imbalance, analyzing TikTok recommendation schemes, proof bounds, and log-odds calibration.

A technical source audit of ColPali (arXiv:2407.01449), evaluating OCR-free visual document retrieval, PaliGemma VLM patch embeddings, and ColBERT MaxSim scoring.
A source audit analyzing the trade-offs between prompt engineering, retrieval-augmented generation, and parameter-efficient fine-tuning for LLM adaptation.
An architectural audit of DoLa, contrasting premature transformer layers against final logits to suppress hallucinations and boost LLM factual accuracy without retraining.
A source audit analyzing enterprise data architectures, tracing the evolution from relational warehouses and data lakes to Lakehouse table formats and Data Meshes.
An architectural audit of enterprise generative AI stacks, analyzing inference engines, semantic gateways, hybrid RAG retrieval, and agent execution harnesses.
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