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Master Tech Portfolio

Dr. Tatianna Gilliam, DBA

Enterprise AI & Cloud Architect
ERP Transformation · Governed Agents · Human-in-the-Loop Systems

I turn enterprise complexity into governed, evidence-first AI, cloud, and ERP systems that can be inspected, shipped, and trusted.

Building BBIOS, a private human-governed operating system for evidence, decision control, authorized execution, and verification.

Public releases · Inspectable architecture · Governed delivery

Professional portrait of Dr. Tatianna Gilliam

Enterprise systems. Governed intelligence. Operational proof.

Doctoral foundation

Research Foundation

This portfolio is informed by doctoral research into ERP implementation strategies in manufacturing organizations. That inquiry now extends into enterprise architecture, AI governance, cloud transformation, and evidence-first operational systems.

Recent Shipments

Released and verified public work

Only items with live evidence. No hard-coded contribution totals.

BBI Public Engineering Roadmap

Public execution roadmap with status, priority, risk, evidence, and proof gates.

Follow BBI public engineering

Evidence lanes

Explore substantial destinations

Every Explore link lands on documentation or a public repository—not a vanity page.

  • Public release shipped
  • Protected delivery workflow
  • Passing CI and security controls
  • Published architecture case studies
  • Public engineering roadmap
  • Active open-source discussions

Featured technical systems

Released and active public proof

Status, proof gate, problem, role, and evidence—without decorative badges or fake completion percentages.

ReleasedProof Gate: Passed

BBI AI Readiness Diagnostic Kit

Evidence-first public toolkit for scoring AI business value, data readiness, human oversight, governance, delivery readiness, and evidence quality.

Problem: Organizations often start AI work with a model or vendor before clarifying decisions, data, authority, failure modes, and evidence.

Role: Author and maintainer — Brilliant Brainstorm Intelligence, LLC

  • Public release with CI across Python 3.11–3.14
  • Explicit governance boundaries
  • Tested CLI and Markdown reporting
PythonGitHub ActionsApache-2.0Deterministic scoring
ActiveProof Gate: In Review

ERP AI Delay Risk

End-to-end portfolio machine-learning system for operational delay-risk prediction, including feature engineering, evaluation, API delivery patterns, and executive reporting design.

Problem: Operational delay risk is often inferred late, without a transparent scoring path from ERP-adjacent signals to decision support.

Role: Architect and implementer — public portfolio system

  • Public technical portfolio artifact
  • End-to-end ML system framing
  • Related containerized inference and cloud integration repos
PythonML evaluationAPI delivery patternsBatch and real-time scoring design
ReleasedProof Gate: In Review

MTP Executive Technical Portfolio Platform

This site: a Docusaurus and TypeScript recruiter portfolio with GitHub Pages deployment, CI/CD, CodeQL, dependency controls, accessibility checks, and explicit public/private publication boundaries.

Problem: Technical leadership work is hard to evaluate without a durable, recruiter-facing proof surface that separates verified public artifacts from private systems.

Role: Author, designer, and maintainer

  • Live public product you are evaluating now
  • DevOps, security controls, and information architecture in one system
  • Public Proof Gate and privacy-boundary discipline
DocusaurusTypeScriptGitHub PagesGitHub ActionsCodeQLLighthouse / a11y checks
Case StudyProof Gate: In Review

ERP-to-Cloud Integration

Watermark-based ERP-to-Azure integration workflow with an enterprise upgrade path, published as a portfolio architecture artifact.

Problem: ERP operational data often remains trapped in batch exports without controlled cloud integration patterns.

Role: Architect — public portfolio

  • ERP-to-cloud integration pattern
  • Azure-oriented delivery framing
PythonAzureWatermark-based sync patterns
Case StudyProof Gate: In Review

Azure Landing Zone Reference

CAF/WAF-aligned enterprise Azure landing zone reference architecture published as a portfolio artifact.

Problem: Cloud estates need governed landing-zone patterns before application and AI workloads scale.

Role: Architect — public portfolio

  • Enterprise Azure architecture
  • Infrastructure-as-code evidence
AzureBicepCAF/WAF alignment

Browse the curated project catalog

Architecture visuals

Boundaries and operating flow

Diagrams for understanding—not decorative command-center wallpaper.

Public-proof publishing boundary
Approved factsRegistryPrivacy checkProof GateHuman mergeLive verifyPrivate systems and unapproved claims stay outside the boundary
BBIOS sanitized operating loop
CaptureRoutePrioritizeExecuteVerifyUpdateContinueArchitecture summary only — private system, repository not public

Public Engineering Momentum

Milestone-backed states

Planned, in review, in progress, released—or clearly labeled private.

Follow BBI public engineering · View GitHub activity

Private system case study

BBIOS

Private human-governed AI operating system — architecture summary only.

A local-first operating architecture for capturing work, routing decisions, controlling execution, verifying outcomes, and preserving evidence.

  • Private system
  • Source repository not public
  • No proprietary implementation details disclosed
Explore the sanitized architecture

Company

Brilliant Brainstorm Intelligence, LLC

Governed AI, enterprise architecture, and ERP transformation tools that connect evidence, human authority, execution, and measurable operational outcomes.

Explore the work.
Inspect the decisions.
Follow the evidence.