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 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
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.
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.