AI Engineer / Automation / Atlanta, GA

AI automation for work, knowledge, and markets.

I build systems that connect models to real inputs and real consequences: workflow bots, benchmarked trading automation, and a model-agnostic life wiki. Less demo magic, more operational machinery.

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Projects

AI systems, not demos.

2026 shipping

Work Automation Bot

An AI operations assistant that turns loose requests into structured intake, plans, drafts, follow-ups, and reviewable work products.

agentsworkflowautomationreview-loops
2024–2026 live/paper evaluation

S&P 500-Benchmarked Trading Bot

A rebalancing system measured against SPY/S&P 500 buy-and-hold performance, with unattended execution, safeguards, and account comparison.

pythonalpacabenchmarkingautomation
2026 shipping

Model-Agnostic Life Wiki

A local-first life wiki where Markdown is the source of truth and AI models are interchangeable tools, not the platform.

markdownagentsmcplocal-first

Timeline

Background and builds, in order.

2026
Jun 2024 - Present
  • Owns MySQL and Apache Hop pipelines across roughly 20 states
  • Runs stored-procedure transform frameworks from staging to source to transform layers
  • Handles bulk historical loads at the 100M-record scale
  • Applies AI/automation thinking where it can make operational work more reliable and inspectable
MySQLApache HopPythonSQLAutomation
2026 - In build
  • Converts ambiguous requests into structured intake, plans, drafts, and follow-ups
  • Uses model/tool orchestration with human approval gates for risky actions
  • Produces inspectable work artifacts instead of ephemeral chat responses
  • Designed around logs, recoverable failures, and review loops
AgentsLLMsPythonMCPAutomation
2026 - In build
  • Plain Markdown remains portable, inspectable, and independent of any model provider
  • Supports agent workflows, project context, and review loops over local knowledge
  • Designed to work with local and hosted models through model-agnostic interfaces
  • Prioritizes long-term memory, context quality, and vendor independence
MarkdownMCPOllamaAgentsLocal-first
2024
Jan 2019 - Jun 2024
  • Supported SAP implementation programs with data and process discipline
  • Worked across data governance, data strategy, and operational adoption
  • Translated business requirements into implementation-ready data workstreams
SAPData GovernanceData Strategy
2024 - Ongoing
  • Benchmarks strategy performance against SPY/S&P 500 buy-and-hold over a defined window
  • Uses drift-based rebalancing, momentum gates, VWAP-aware execution, and cash-floor controls
  • Runs unattended through Alpaca with logs, safeguards, and remote control
  • Separates live/paper accounts for comparison and avoids unmeasured performance claims
PythonAlpacaSQLiteBenchmarkingAutomation
2019
Jun 2017 - Jan 2019
  • Helped define governance patterns, data standards, and operating models
  • Worked with stakeholders to make enterprise data programs easier to execute
  • Focused on practical data strategy and adoption
Data GovernanceData StrategyConsulting
2017
Mar 2014 - Jun 2017
  • Supported data strategy workstreams for large client programs
  • Built early consulting foundation across analysis, process, and delivery
  • Worked at the intersection of enterprise systems and usable data
Data StrategyConsultingEnterprise Systems
2014
2014
  • Bachelor of Business Administration
  • Information Systems Management: ERP
  • Foundation for enterprise systems, data, and implementation work
Information SystemsERPBBA

Stack

Tools behind the systems.

AI

  • Agents
  • MCP
  • Ollama
  • Codex
  • Evals

Automation

  • Python
  • Shell
  • Git
  • APIs
  • Schedulers

Knowledge

  • Markdown
  • Local-first storage
  • Model routing
  • Context design

Data

  • SQL
  • MySQL
  • Pipelines
  • Benchmarking
  • Observability

Contact

Let's build useful AI.

Send the workflow, the constraints, the tools involved, and what a correct outcome means. I will tell you quickly whether I can help.

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