Deep Learning Interviews
Hundreds of fully solved job interview questions from key AI topics.
A practical machine learning and deep learning reference for candidates, researchers, and engineering teams.
about
The founder.
Principal Advisor — AI Systems · Quantum · Defence & Strategy
Scholar · AI Scientist · Manager
Deep Learning
Quantum Systems
Defence & Strategy
Enterprise AI
National Security
Shlomo Kashani builds production AI and quantum systems — and studies the high-stakes decisions that ride on them. He ships large language models, retrieval, and agentic AI, and works hands-on across the quantum stack: quantum machine learning (QML), quantum algorithm design, and high-performance circuit simulation. He is the author of Qupertino, an Apple-Silicon quantum framework, develops in PennyLane, and implements state-vector and matrix-product-state (MPS) simulators. Most of this ships as open source — recent releases include QuantumNovelty, an agent framework that audits quantum-computing papers, and QuantumLLMInstruct, a corpus of AI-generated quantum-computing problems and solutions. He is also pursuing a professional doctorate in Defence and Strategic Studies at Missouri State University.
He works across the boardroom and the lecture hall, with scientific and international counterparts, and reads a decision from more than one vantage — how the same call lands differently from one capital, institution, or chain of command to the next.
His training spans strategic studies at Missouri State University, an M.Sc in Quantum Physics & Computing at Johns Hopkins University, and an M.Sc in Digital Signal Processing at Queen Mary, University of London.
