Fractional On-Demand Head of AI · Chief Data Scientist

Real AI Systems,
Not Demos

I partner with post-seed and growth teams as an on-demand Head of AI and Chief Data Scientist—defining strategy, making first AI hires, evaluating vendors, and shipping LLM, RAG, and agentic systems from prototype to production.

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Strategy · LLM/RAG · Agentic Systems · MLOps

AI Strategy

Roadmaps & Architecture

LLM & RAG

Production Pipelines

Agentic AI

Tool-Integrated Systems

Technologies & Expertise

LangChain
RAG
PyTorch
vLLM
TensorRT
Vector DBs
OpenAI
AWS/GCP
LangChain
RAG
PyTorch
vLLM
TensorRT
Vector DBs
OpenAI
AWS/GCP
Core Services

End-to-end AI leadership for growth-stage teams

From strategy and architecture to hands-on delivery. I help post-seed startups build production AI systems that actually work.

📊

AI Strategy

Define your AI roadmap, evaluate build-vs-buy decisions, and architect systems that scale with your business.

Roadmaps Architecture Vendors
🔬

LLM & RAG Systems

Production-grade retrieval-augmented generation pipelines with proper evaluation, guardrails, and observability.

RAG Embeddings Evaluation
🤖

Agentic Systems

Tool-integrated reasoning agents that perform real tasks. Multi-step workflows with proper error handling.

Agents Tools Workflows
⚙️

MLOps & Infra

Deployment pipelines, model serving, monitoring, and the infrastructure to run AI at scale.

vLLM TensorRT AWS/GCP
20+
Years Experience
F500
Enterprise Background
Gold
AIMO-2 Medalist
1
Published Book
Meet the Founder

Shlomo Kashani

On-Demand Head of AI and Chief Data Scientist with 20+ years shipping production AI systems.

Shlomo Kashani

Shlomo Kashani

Founder, QNeura.ai

AIMO-2 Gold Medalist, published author (Deep Learning Interviews), and founder of QNeura.ai. With 20 years of hands-on AI and systems engineering across Fortune 500 programs and award-winning open source.

Leads strategy and delivery for LLM-powered systems, RAG pipelines, agentic AI, and MLOps at production scale—shipping working prototypes fast and scaling them into robust, observable systems.

Stack: Python/PyTorch, C++/CUDA, TensorRT, vLLM, and AWS/GCP. Academic background: Strategic Studies (MSU), Quantum Physics (Johns Hopkins), Signal Processing (Queen Mary), Engineering (Ben-Gurion).

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Technical Depth

Built for production, not demos

Deep expertise across the full AI stack, from research to deployment.

LLM Fine-tuning

LoRA, QLoRA, full fine-tuning with proper evaluation frameworks and A/B testing.

Hybrid RAG

Dense + sparse retrieval, reranking, query expansion, and contextual compression.

Multi-Provider LLM

OpenAI, Claude, Gemini, and local models via Ollama. Unified interfaces with fallbacks.

High-Performance Inference

TensorRT, vLLM, quantization, batching, and GPU optimization for throughput.

Evaluation & Safety

LLM-as-judge, semantic similarity, guardrails, content filtering, and bias detection.

Observability

LangSmith, Phoenix, custom dashboards. Full tracing from prompt to response.

Get in Touch

Ready to build real AI systems?

Reach out to discuss your AI roadmap, evaluate vendors, or get hands-on help shipping production systems.

QNeura.ai

On-Demand Head of AI · Chief Data Scientist

shlomo@qneura.ai

Let's build something real

From strategy to production. AI systems that work, not just demos.

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