Dave Ebbelaar
VERIFIED TECHNICAL DOSSIERSources checked

Dave Ebbelaar

Founder of Datalumina

2 Verified ArtifactsSource Checked & Attributed

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Dave Ebbelaar. Every entry undergoes editorial source verification.

#1
EXPLANATION Checked Sep 22, 2026

Building and Scaling an Applied AI Consulting Agency

Trained over 5,000 software engineers and consultants on scoping, pricing, and delivering real enterprise AI projects with deterministic acceptance criteria and verifiable ROI.

Model & Execution Context:Enterprise client delivery frameworks, SLA definition for stochastic models.
Scope & Limitations

Client proprietary data compliance (GDPR/HIPAA) limits usage of non-EU cloud model APIs.

#2
IMPLEMENTATION Checked Sep 22, 2026

Production AI Agent Templates and Enterprise RAG Blueprints

Authored and open-sourced end-to-end production AI starter kits covering hybrid vector search, chunking evaluation, LangGraph stateful multi-agent systems, and Dockerized FastAPI microservices.

Model & Execution Context:LangGraph, LlamaIndex, ChromaDB, Qdrant, FastAPI, Docker, OpenAI, Anthropic.
Scope & Limitations

Memory persistence in multi-agent loops requires external state stores like Redis or PostgreSQL.