Olga M.

I help teams design, diagnose, and stabilize AI systems by treating them as systems, not magic tools. I'm a PhD-trained physicist and applied mathematician with deep experience in AI integration, data analysis, and modular system design. My core strength is seeing problems simultaneously through three lenses: * Physics (system mechanics & constraints) - how the system actually behaves * Applied Mathematics (models & assumptions) - what is abstracted, tested, or silently assumed * Algorithms & AI workflows (implementation) - how inputs are transformed into outputs, at scale This allows me to identify failure modes, hidden assumptions, and inefficiencies that are often missed when AI is treated as a black box. ### What I Do ### I work as a consultant, not a task executor. Clients bring me in when: * AI outputs are inconsistent or unreliable * Systems “work” but don’t scale or generalize * Assumptions are unclear or untested * Teams need clarity before building or deploying My services include: * AI system diagnostics & integration audits * Human–AI workflow design * Modular AI architecture (agents, RAG, memory, pipelines) * Data analysis & decision modeling under uncertainty * Validation, QA, and failure-mode analysis * Advisory support during implementation or redesign I separate exploration from production, precision from validity, and automation from judgment. ### How I Work ### * I make assumptions explicit and testable * I use tools to increase efficiency and preserve cognitive bandwidth, not to replace thinking * I document decisions, risks, and trade-offs * I ask the right questions—and know when to consult domain experts A core principle of my work is simple: A robust algorithm applied to a false premise produces precise nonsense. My job is to prevent that. ### Background Highlights ### * PhD in Astrophysics (physics + applied mathematics) * Graduate training at ESA and ESO (data analysis, modeling, PI-level responsibility) * 10+ years designing and maintaining semantic and AI-assisted knowledge systems (GM-RKB) * Extensive experience in data analysis, algorithmic modeling, and technical writing * Current projects in AI integration and systems analysis ### What You Can Expect ### * Clear problem framing * Honest assessment of uncertainty and risk * Practical, implementable recommendations * Systems that are simpler, more robust, and easier to reason about If you need someone who can dissect complex AI systems from surface behavior to core assumptions, and help you rebuild them with clarity and integrity, let’s talk.