Shlomo Kashani · Deep-tech AI, quantum & strategic advisory
Scholar · AI Scientist · Manager
Geopolitical acceleration, autonomous systems, and AI-enabled decisions are compressing the window for defence 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
A professional doctorate in Defence and Strategic Studies alongside twenty years of production AI — LLM, retrieval, agentic systems, quantum computing — 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.
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.