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.

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.