I'm Anthony Johnson II — an Enterprise AI Solutions Architect working out of the Pacific Northwest. I run EthereaLogic.ai, where I deliver Databricks-native data reliability architecture for enterprise clients and publish open-source tooling under the Org-EthereaLogic umbrella (MIT-licensed across the full five-chapter Enterprise Data Trust portfolio). I also consult through Analytics AIML — a US-based AI and analytics firm — on enterprise client engagements across AI implementation, analytics modernization, and SDLC-aligned delivery.
I'm drawn to the underexplored, high-leverage corners of AI — the problems that aren't flashy, but make everything else work better. My work sits at the intersection of rigorous systems design, LLM orchestration, and measurable data reliability — pipelines that tell you why they failed, not just that they did.
"Is your AI thinking clearly — or just guessing better…?"
| Project | Description | Status |
|---|---|---|
| 🛰 DriftSentinel | Unified Databricks data-reliability platform — intake certification, drift gating, and control benchmarking in a single governed pipeline. Operator dashboard included. 397 passing tests. | ✅ Live on PyPI |
| 🔨 AetheriaForge | Coherence-scored transformation engine — entity resolution, temporal reconciliation, and schema enforcement with append-only evidence. Layer-aware thresholds (Bronze ≥ 0.5, Silver ≥ 0.75, Gold ≥ 0.95). 304 passing tests. | ✅ Live on PyPI |
| 📊 Enterprise Data Trust Methodology | Three-chapter data trust foundation — Trusted Source Intake (56 tests), Silent Failure Prevention (50 tests), Measurable Control Effectiveness (37 tests). Perfect challenger recall (1.00 vs 0.8767 industry baseline) across 6.6M rows — 100% detection of silent data corruption before it reaches executive dashboards. | ✅ Shipped |
| ✍️ Distributional Validation Series | Three-part April 2026 technical series documenting preregistered experiments (E61/E62/E63) and 6.6M-row empirical validation of entropy-based data quality. | ✅ Published Apr 2026 |
Total: 844+ passing tests across the full five-chapter portfolio. Every claim backed by reproducible evidence on Databricks Free Edition. All five Data Trust chapter repos are MIT-licensed.
A one-screen summary if you landed here from LinkedIn, the resume, or a recruiter search:
| Target roles | Principal / Staff Solutions Architect · Enterprise AI Architect · AI Platform / Data Reliability Lead · AI Engineering Lead |
| Availability | Full-time W2 preferred; contract considered. Remote-first; Pacific Northwest based. |
| Recent shipped proof | DriftSentinel and AetheriaForge on PyPI. Reproducible benchmarks across 6.6M rows. Perfect challenger recall (1.00 vs 0.8767 industry baseline). |
| Enterprise background | 11+ years bridging GTM strategy and technical execution. 20+ Fortune 500 integrations representing $10M+ in combined ACV at DiscoverOrg / ZoomInfo Technologies (NASDAQ: GTM, formerly ZI), through the September 2019 rebrand and 2020 NASDAQ IPO. Currently consulting through Analytics AIML on enterprise AI and analytics client engagements alongside a team of ex-IBM and Big 4 advisory professionals. |
| Technical focus | Databricks · Medallion Architecture (Bronze/Silver/Gold) · Unity Catalog · LLM pipelines (LangChain, OpenAI, Anthropic Claude) · Data quality gates · Shannon entropy validation · Retrieval-Augmented Generation (RAG) · Databricks Asset Bundles |
| Resume | DOCX and PDF versions available on request via Anthony.johnsonii@etherealogic.ai. |
The differentiator. Most engineers see only the code. I spent the formative years of my career in the GTM engine of a hypergrowth SaaS company, watching where data and integration gaps cost real revenue. I build AI pipelines and data architectures that move business metrics, not just notebook demos.
Core Languages & Runtimes
Data Platforms & Lakehouse
AI / LLM Orchestration
Infrastructure & APIs
Databases & Vector Stores
Protocols & Patterns
Pinned repositories above surface the full five-chapter Enterprise Data Trust portfolio:
DriftSentinel,AetheriaForge,measurable-control-effectiveness,silent-failure-prevention,trusted-source-intake. All MIT-licensed, all on PyPI or in the published methodology suite. Org membership is public, so the resume'sgithub.com/Org-EthereaLogiclink resolves to a verifiable principal.
- 🌐 etherealogic.ai
- ✉️ Anthony.johnsonii@etherealogic.ai
- 🏢 Org-EthereaLogic on GitHub — published portfolio
- 💼 linkedin.com/in/anthonyjohnsonii
Building AI that actually thinks — one clear system at a time.