400+ clients
People bring goals, constraints, habits, fear, and bad context into every system.
Diagnose the real blocker before building the plan.
About / operator file
I learned systems through bodies, businesses, software, and models.
Personal training taught diagnosis. Athletics taught load. Software taught leverage. Founder work taught constraints. Texas McCombs / UT Austin's Post Graduate Program in AI & Machine Learning: Business Applications sharpened the model layer: forecasting, classification, neural networks, computer vision, RAG, deployment, and the judgment to know when a model should support a human decision.
football / lifting / 26.2 mi
Load exposes whether the structure is real or just well written.
Design systems that still work when the operator is tired.
Apps & AI / Omnexus
A small product path can remove a lot of repeated judgment.
Build interfaces, automations, and assistants around real workflow pressure.
Texas McCombs / UT Austin's PGP AI/ML
Forecasting, classification, RAG, deep learning, and computer vision all require different success metrics.
Ground AI in data, source material, evaluation, deployment, and human review.
AI/ML / business application
The useful part was the repeated motion.
Business problem, source data, model choice, metric, recommendation, deployment or handoff. That motion now sits underneath the consulting work.
forecast
RF sales planningRAG
k=3 retrieval groundingfailure
0.837 test recalldeploy
API Flask + UIVisual proof
The biography should be seen, not summarized.
identity
Portrait
A real face anchors the work before the diagrams, claims, and proof modules begin.
performance
Training record
Coaching, NCSF certification, lifting, football, and marathon work are source material for the operating lens.
AI/ML
Model record
Business-applied projects add forecasting, classification, RAG, deep learning, and deployment evidence.
operator file
Handoff record
The strongest systems leave behind access maps, runbooks, and decisions a business owner can follow.
bodies
Training taught diagnosis
What someone says they want and what the system needs are often different.
coaching reps / NCSF CPTpressure
Sport taught load
A plan has to hold up when the work is repetitive, tiring, and not glamorous.
football / lifting / marathonleverage
Engineering taught systems
The useful software is the part that removes repeated owner memory and makes the next decision clearer.
Apps & AI / Omnexusmodels
AI/ML taught tradeoffs
Models need metrics, source material, failure modes, and business context before they deserve trust.
forecasting / RAG / CVownership
Business taught handoff
The point is not to be impressive. The point is to leave something usable.
runbook / decision log