Writing
How Processors Work: From Power to Program
A museum-exhibit-style journey tracing how electricity becomes computation — from 0s and 1s through logic gates, binary adders, and ALU, up to how a CPU executes a program and how Python source code ultimately runs on hardware.
How Transformers Think
A live, systems-first walkthrough of how transformer models turn text into predictions, covering tokenization, attention routing, MLP edits, residual stream, and logit lens.
AI Evals Handbook
A comprehensive guide to evaluating AI systems over time focusing on Why, What, How, Keep, and Proof. Includes templates for RAG, agents, and drift monitoring. Narrative-first framework optimized for AI agent consumption.
Complexity-Criticality Matrix for Enterprise GenAI Governance
Governance framework for determining AI oversight levels classifying tasks by domain specificity and compliance impact. Governs 50+ quarterly use cases across Legal and Risk teams.
Generative AI Unveiled: Mechanisms, Biases, and Ethical Engagement
Technical deep-dive into LLM architecture, training dynamics, and frameworks for responsible deployment. Covers mechanisms, biases, and ethical considerations for generative AI systems.
Blog & Articles
Writing on AI product management, multi-agent systems, enterprise AI strategy, and responsible AI practices. Topics include LangGraph patterns, evaluation frameworks, and forward deployment.