Founder & Technical Lead, AI Automation Academy
Jan, 2024 - Present
Developed a 14-Step AI Automation Protocol for autonomous content factories and automated full-stack monetization funnels on Whop and Beehiiv.
Adversarial researcher and engineer specializing in automated stress-testing and audit layers for production AI agents. Expert at leveraging Behavioral Psychology and Computer Science frameworks to identify model drift and financial vulnerabilities.
Founder & Technical Lead, AI Automation Academy
Jan, 2024 - Present
Developed a 14-Step AI Automation Protocol for autonomous content factories and automated full-stack monetization funnels on Whop and Beehiiv.
AgentTrace
- Present
Adversarial Reliability Framework. Identified a 10% reliability drop in AI agents using Behavioral Psychology persona modeling.
CostTrace
- Present
Financial Risk Modeling tool to quantify agent failure footprints and prevent Wallet-Exhaustion attacks.
LLM-as-a-Judge
Behavioral Persona Modeling
Adversarial Stress Testing
Prompt Injection Simulation
Agent Observability (AgentTrace)
Python (Pandas, Playwright, BeautifulSoup)
SQL
R
API Integration
GitHub Actions
Financial Risk Modeling (CostTrace)
Token Usage Optimization
PostgreSQL Drift Analysis
Automated Reporting Pipelines
Psychology, Bachelor of Arts, Spelman College
- Present
Minor in Computer Science
Behavioral Modeling
Data Structures