AI & Automation Engineer
I build intelligent systems that people actually use.
role: "AI & Automation Engineer"
background: ["tech", "finance", "people"]
superpower: "Bridging the gap between
what AI can do and what
people need it to do"
status: building|Most AI engineers can build the system. Most advisors can manage the risk. I do both.
I started in the trenches — diagnosing DSL line faults at 2 AM, scripting network configs, bouncing line cards on Adtran systems. I earned a BBA in Computer Information Systems — a degree that fused technology with finance, accounting, economics, and quantitative methods — then spent 5+ years as a Risk Advisor, where I didn't just sell policies — I systemized risk management. I built Salesforce workflows, automated outreach funnels, trained teams on data integrity, and turned analytics dashboards into revenue machines.
Finance runs deep. I manage risk for families and businesses, run my own insurance practice at lainsurancequotes.com, and actively trade cryptocurrency using a custom framework rooted in market psychology, liquidity analysis, and capital allocation. Money management isn't a side skill — it's how I think.
Now I'm channeling all of it — the technical depth, the financial acumen, the people instincts — into AI and automation. I design multi-hop reasoning tasks that stress-test LLMs across 5–8 authoritative sources, engineer prompts that actually work at scale, evaluate model failures with surgical precision, and build automation workflows that eliminate the friction between humans and technology.
The market is flooded with people who can code AI. It's starving for people who can design the benchmarks, diagnose the failures, and translate it all for real humans in real businesses. That's me.
Designed a natural-language question requiring an LLM to combine historical, geographical, and municipal-record clues across 5+ authoritative sources to reach a single numeric answer. Tests multi-hop reasoning, temporal anchoring, entity disambiguation, and document-based extraction.
Designed a cross-domain reasoning task requiring an LLM to traverse 8 distinct authoritative sources — spanning ancient history, geography, institutional affiliations, national identity, award recipients, journal metadata, and deep-learning model metrics — to extract a specific Testing MAE from a peer-reviewed PDF.
Allstate Insurance — Paul Mims Agency
Self-Employed
Pattern recognition, data pipeline thinking, and building decision systems under uncertainty — core competencies for designing AI automation workflows.
Kim Duke State Farm
CRM architecture, workflow automation, team training on technical tools, and data-driven funnel optimization — all directly transferable to AI system deployment and user adoption.
Family Care
Full-time care for elderly family member. Demonstrated empathy, adaptability, and problem-solving under pressure — the human-centered instincts that inform how I design technology for real people.
Kim Duke State Farm
Marketing automation, analytics platform integration, and translating data into strategy — the exact workflow AI automation engineers optimize.
CenturyLink
Bayou Internet
University of Louisiana at Monroe
2011 — 2016
Hybrid foundation: finance, accounting, economics, marketing, statistics, systems analysis, database development, network design, network security, and project management.
Applied Technology Center
2003 — 2005
Hands-on technical training in IT fundamentals, networking, and system administration.
Insurance Certification · License #LA-867875
Licensed across life, health, property, and casualty lines.