Shlomo Kashani · Deep-tech AI, quantum & strategic advisory
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 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
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.
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.
Applied quantum computing and QML — research, prototyping, and simulation, including frameworks tuned for Apple Silicon.
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.