20 years of hands‑on AI and systems engineering — from Fortune 500 programs to award‑winning open source. We bring that experience to post‑seed and growth teams with a velocity approach that ships functioning prototypes.
Shlomo Kashani is an AIMO‑2 Gold Medalist, published author (Deep Learning Interviews, GitHub), and founder of QNeura.ai. He leads strategy and hands‑on delivery for LLM/RAG systems, agentic AI, and MLOps.
An interdisciplinary technologist, he weaves advanced AI research with DSS‑informed philosophical inquiry and operates as a Chief Scientist, fusing scientific precision with ethical and cultural insight.
Hands‑on with agentic frameworks and orchestrators, LLMs/VLMs (Anthropic, OpenAI, DeepSeek), and the full stack from pre‑training and fine‑tuning to LoRA, multi‑GPU inference, and deployments on HuggingFace and vLLM.
Education: DSS Strategic Studies (MSU), M.Sc. Quantum Physics/Computing (Johns Hopkins), M.Sc. DSP (Queen Mary), B.Sc. Engineering (Ben‑Gurion). Open‑source contributions include QuantumLLMInstruct, metalQwen3, vLLM‑5090, and osxQ.
We partner end‑to‑end—from strategy and roadmaps to prototypes and production—to implement GenAI and quantum capabilities that move the needle.
Under the hood that means Python/PyTorch, C++/CMake, CUDA, ONNX, TensorRT, vLLM/llama.cpp, AWS/GCP, and edge‑optimized inference. I maintain open‑source projects including QuantumLLMInstruct, metalQwen3, vLLM‑5090, and QonFusion. My background spans DSS Strategic Studies (Missouri State University), Johns Hopkins (M.Sc. Quantum Physics/Computing), Queen Mary (M.Sc. DSP), and Ben‑Gurion (B.Sc. Engineering); I’m an AIMO‑2 Gold Medalist and author of Deep Learning Interviews (GitHub).
Strategic guidance on AI implementation, technology selection, and organizational transformation for quantum-ready enterprises.
Custom quantum machine learning solutions, algorithm development, and hybrid classical-quantum system design.
Seamless integration of quantum-enhanced AI capabilities into existing business workflows and technical infrastructure.
Ready to accelerate your AI roadmap or discuss fractional leadership? Reach out and we’ll help you get started.
