GF/systems

Senior systems engineer · contractor · builder

Data arrives.
Intelligence
takes over.

One project slot open

Change the order. Watch AI interpret the signals, explain a decision, and pass the completed outcome back to machine learning.

SIMULATED RETAIL FRAUD SYSTEM

A name-brand perfume retailer wants fewer fraudulent orders without stopping legitimate customers. Follow one order through its backend.

READY TO PROCESSFollow one order through the system.

Change the incoming information if you want, then click the decision engine to begin.

ORDER VALUE$1,840
DECISIONCancel95% risk signal
WHY

01Rule match: the order includes a middle name. +80 points.

02Pattern match: this customer has never used a middle name on a past order. +15 points.

03The score crossed the automatic-cancellation threshold.

FINAL VERIFICATION
Rules catch what the system already knows.ML looks for patterns the rules cannot see alone.

01 / Architecture X-ray

Clean on the surface.
Serious underneath.

Drag the scanner across the system. The result may look simple; the engineering below it is not.

REQUESTOne useful result.RESPONSE
01IntakeAPIs · events · source systems
02OrchestrateQueues · rules · workflows
03UnderstandPython · models · validation
04ActRoute · alert · publish · escalate
SCAN
DRAG THE FIELD OR USE THE SLIDER
OrchestrateQueues · rules · workflows

Separate intake from execution. Control timing, retries, dependencies, and failure boundaries before one delay becomes a larger incident.

02 / Production pressure test

Turn up the load.
See what breaks.

A reliable system is designed for the bad hour, not the quiet one. Push the traffic and watch the queue, latency, and operating state change.

Traffic58%
Queue depth41
Latency134ms
System stateStable

Normal demand. Capacity remains available and work clears without intervention.

03 / Selected operating contexts

The work changes.
The responsibility does not.

Client identities remain protected by NDAs. The systems, constraints, and work are still worth showing.

01

Production · Contact centers · regulated financial services

Customer-contact systems

More than twelve years working inside specialized production systems across incidents, platform changes, integrations, vendors, documentation, and technology transition.

  • Telephony
  • Incident response
  • Change control
  • Production support

04 / Where the work has lived

Different industries.
Same need for dependable systems.

Contact Centers◆Regulated Financial Services◆Consumer◆Legal◆Mortgage◆Insurance◆Ecommerce◆Aviation◆Contact Centers◆Regulated Financial Services◆Consumer◆Legal◆Mortgage◆Insurance◆Ecommerce◆Aviation◆
Automated Workflows+Data Modeling+Predictive Systems+Systems Integration+Production Operations+API Integration+Decision Support+Process Automation+Incident Response+Data Validation+Automated Workflows+Data Modeling+Predictive Systems+Systems Integration+Production Operations+API Integration+Decision Support+Process Automation+Incident Response+Data Validation+
INDUSTRIES ABOVETECHNICAL EXPERIENCE BELOW

05 / Contractor operating model

Give me the work.
Judge the result.

I have room for one more engagement. Much of my prior contract work has been for major organizations, including companies within the S&P 500 Top 50. Their names stay protected by NDAs.

One project slot open

What needs
finished?

Put it on my desk↗

gfoulks@gmail.com