Founder, QNeura.ai · AI Scientist · Strategic Scholar · Artist
An unusual combination of disciplines — artificial intelligence, strategic theory, and the visual arts — applied to complex questions of technology, institutions, and human judgment.
About
Shlomo Kashani is a researcher and technologist whose work spans artificial intelligence, strategic studies, and the visual and literary arts. He is the founder of QNeura.ai, where he leads production AI systems work — large language models, retrieval-augmented generation, agentic systems, and quantum machine learning — for technology companies and institutional clients navigating the intersection of advanced computation and complex geopolitical environments.
With more than twenty years of hands-on AI and systems engineering, including a Gold Medal in the Kaggle AI Mathematical Olympiad (AIMO-2) and authorship of Deep Learning Interviews, Kashani operates at the frontier of applied AI. His technical work spans Fortune 500 deployments, award-winning open source projects, and research into quantum machine learning and computational intelligence.
His parallel track runs through strategic scholarship. Currently completing graduate studies in Defence and Strategic Studies, his research examines the ethical and strategic dimensions of emerging technologies in high-stakes geopolitical environments — how speed and complexity reshape political decision-making, the moral frameworks that govern state action under pressure, and the institutional conditions that separate disciplined judgment from panic.
Alongside scholarship and technology, Kashani works across the visual and literary arts. His paintings and essays explore perception, judgment, and the relationship between technical systems and human experience. He writes and paints from Israel.
01
Production LLM systems, RAG architectures, agentic AI, and quantum machine learning. Twenty years shipping systems that work at scale. AIMO-2 Gold Medalist.
02
Applied analysis at the intersection of emerging technology and geopolitical risk. Strategic foresight, complex institutional environments, AI in high-stakes analytical and policy contexts.
03
Oil and watercolour paintings alongside essays on ethics, interpretation, and the cultural impact of emerging technologies.
Publications & Projects
Published · Widely cited in AI research
Technical reference · machine learning
A widely referenced resource in the AI research community covering the theoretical and practical foundations of deep learning. Used in academic programmes and by practitioners across the field.
Education & Recognition
Defence & Strategic Studies
Geopolitical risk · strategic theory · technology and statecraft
M.Sc Quantum Physics & Computing
Quantum machine learning · applied physics
M.Sc Digital Signal Processing
Advanced signal processing · distinction
B.Sc Engineering
Systems engineering
Rare in this field: an engineer who can read the primary sources, and a scholar who can ship production systems.
For strategic advisory engagements, academic collaboration, speaking invitations, exhibition inquiries, or press requests. Engagements are confidential and conducted under standard advisory terms.