Shlomo Kashani · Deep-tech AI, quantum & strategic advisory

Clarity in applied AI.

Scholar · AI Scientist · Manager

Frontier AI, quantum computing, and the strategy that governs them are compressing the window for research and enterprise leaders — to choose the right technology bet, and to build it. I work at the seam where AI accelerates quantum, quantum reshapes AI, and both meet the strategic decisions that ride on them.

I build instruments to disprove my own hypotheses, and I trust a theory only once it survives a genuine attempt to kill it.

Where to start

Professional doctorate, Defence & Strategic Studies (in progress) — Missouri State University · M.Sc Quantum Physics & Computing — Johns Hopkins University · M.Sc Digital Signal Processing — Queen Mary, University of London · Gold Medal — Kaggle AI Mathematical Olympiad · Author of Deep Learning Interviews and October 7: Witness

Strategy and the system, together.

Twenty years of production AI — LLMs, retrieval, agentic systems — alongside hands-on quantum work in QML, quantum algorithms, and circuit simulation means the strategic frame and the technical claim live in the same conversation.

Beyond the advisory work, my first love is AI and quantum-physics research, and most of it ships as open source. Recent releases include QuantumNovelty, an agent framework that audits quantum-computing papers, alongside mlxQ, a quantum-simulation framework tuned for Apple Silicon, and QuantumLLMInstruct, a corpus of AI-generated quantum-computing problems and solutions.

AI systems

AI systems

Production large language models, retrieval, and agentic AI — designed, built, and shipped into real use. Not demos. Not sandboxes. Systems that go to work every day.

Quantum gate circuit

Quantum computing

Applied quantum computing and QML — research, prototyping, and simulation, including frameworks tuned for Apple Silicon.

Books on quantum physics, intelligence analysis, and just war theory

Strategic advisory

Judgement on high-stakes AI decisions made under uncertainty and time pressure, for boards and chief executives. I separate tractable capability from vendor hype. I define build sequences with explicit kill conditions.

Work with me privately.

I take on a small number of chief executives and deep-tech teams as a Fractional Head of AI at a time — on the AI, quantum, machine-learning, defence & strategy decisions where getting it wrong is expensive. Write a short note — the decision in front of you and how much time you have. That is enough to start. I read everything personally.

If you are a chief executive or deep-tech leader trying to make consequential AI and quantum decisions, and you don’t have someone in your corner who has actually built and shipped this technology at scale — you are exposed in a way you probably don’t fully appreciate yet.