MBA candidate · Cloud architect · AI strategy

Tabe Bill

I turn complex cloud, financial, and AI systems into products and decisions people can actually use.

Explore selected work How I work

08 project systems 03 degree programs 01 strategy-to-system lens

AI + dataRAG

CloudAWS

MBA2027

EconomicsFinOps

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Technology policyAI systemsCloud architectureFinancial dataDecision support

Stack + judgment

Knowledge Across Four Layers

AI + data

RAG agents, vector retrieval, embeddings, XBRL reporting, data pipelines, and evaluation-minded prototypes.

RAG · Supabase · SQL · n8n

Cloud architecture

AWS environments, infrastructure automation, serverless patterns, identity, CI/CD, and reliability controls.

AWS · Terraform · CDK · Kubernetes

Economics + FinOps

Cloud cost modeling, budgeting, financial framing, operational metrics, and tradeoff communication.

Cost · Forecasts · Unit economics

Strategy + policy

Landscape assessment, competitive benchmarking, sovereign AI context, governance, and executive synthesis.

Research · Governance · Briefs

Selected work

Systems with the strategy built in.

Applied work across AI retrieval, financial intelligence, route optimization, product engineering, cloud operations, and developer tooling.

01Flagship case study

AI pipeline · Real-estate finance

REIT XBRL Intelligence Platform

A retrieval system that transforms long-form REIT filing data into embedded, searchable context and conversational comparative analysis.

InputFinancial filings + factor data

SystemIngestion, vector search, RAG agent

InterfaceAuthenticated Next.js chat

n8n workflow connecting document ingestion, embeddings, Supabase vector storage, and a RAG agent — 01 Orchestrated ingestion and retrieval workflow

Dark REIT chat interface returning an analytical answer — 02 Decision-facing chat experience

02Product engineering

Maps · Operations · BlightLens

Curbside Route Optimizer / BlightLens Routes

Routing and data work for BlightLens field collection, built from a route-planning toolkit for importing stops, geocoding addresses, managing pins, validating routes, and exporting optimized runs.

03Data product

Markets · Signals

Gold Desk / Forex Sentiment

An experimental market-monitoring workspace that joins provider data, resilient fallbacks, caching, pair-level context, and background processing.

Image Steganography web interface for embedding secret text

Embed / extract / capacity interface

04Security utility

Python · Applied security

Image Steganography Suite

A browser-based utility for hiding text inside images, extracting concealed messages, and calculating available payload capacity with LSB encoding.

Authenticated notes dashboard with create, edit, and delete controls

SupabaseAuthRLSCRUD

Authenticated notes workspace

05Full-stack application

Identity · Database

Supabase Notes

An authenticated notes application with account flows, user-scoped records, database persistence, and row-level access controls.

06Platform tooling

WordPress · Reliability

Bill’s Backup Manager

A custom WordPress plugin that packages backup creation, storage, restore handling, administration, and clean uninstall behavior into one workflow.

07DevOps sample

Java · Containers

Containerized Geek API

A compact Java service with controller endpoints, matching tests, health behavior, Maven packaging, and alternative Docker build patterns.

08Integration study

VS Code · Model providers

Extra Chat Providers

An evaluated provider-extension codebase for connecting additional model vendors to GitHub Copilot Chat. Included as integration study, with upstream authorship clearly retained.

Operating model

From ambiguous question to controlled system.

I work across the strategic decision, the data and cloud architecture behind it, and the explanation leaders need to act with confidence.

01
Frame the decision
Clarify the stakeholder, economic constraint, technical risk, and evidence required.
02
Design the system
Map the data flow, cloud boundary, access model, failure paths, and operating cost.
03
Build for proof
Create an observable prototype with realistic inputs, tests, and measurable behavior.
04
Explain the tradeoff
Turn performance, cost, governance, and next steps into a decision-ready narrative.

Profile

Business education with hands-on cloud delivery.

“The goal is not just a technically correct system. It is a system whose cost, risk, and purpose can be understood.”

MBAUniversity of Tulsa · 2027

M.S.Entrepreneurship & Innovation · 2025

B.S.Accounting · 2022

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Current focus

MBA Candidate, University of Tulsa

Expected 2027 · Graduate Assistant with UTulsa Center for Energy Studies, supporting AI strategy, cloud economics, cloud-based research infrastructure, analytics, and financial modeling.

UTulsa CES leadership profile

Research leadership

Routing & data lead, BlightLens

Summer 2026 field-collection routes and data coordination for a UTulsa, Harvard GSD, Housing Forward, City of Tulsa, and PartnerTulsa research effort focused on blight detection and housing-data collection.

BlightLens team profile

Experience lens

Cloud architecture + enterprise delivery

Secure, scalable, and cost-aware AWS environments; infrastructure automation; cloud migration; and executive-ready reporting.

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