MakingCode — John DeLeon

The real record of turning a long enterprise career toward AI and automation.

This is what I've actually learned applying 14 years in enterprise software to figure out what comes next — the wins, the wrong turns, and what I still don't know.

Latest Writing

Notes from the journey, written as it happens.

Recent Work

See what I've built.

Bridging the Black Box: Explainable Anomaly Detection for Critical Infrastructure

A DOD/ARL-funded capstone: a Kafka/Spark/Neo4j/TimescaleDB pipeline feeding a two-stage heterogeneous graph transformer that hits 87.8% accuracy detecting attacks on a hardware-in-the-loop water testbed — trained on 369 labeled graph snapshots, a number that should temper every other number in this post.

machine-learningsecuritygraph-neural-networksacademic-research

A five-person, DOD/ARL-funded capstone that got a two-stage heterogeneous GNN to 87.8% accuracy on a physical water-distribution testbed — on 369 labeled graph snapshots, which is the number that should temper every other number in this post.

A Job-Posting Fraud Classifier — and the Gap Between the Model and the Demo

A class-project XGBoost classifier hits 98% accuracy and a 0.985 ROC-AUC detecting fake job postings offline. The deployed demo does not call it — the API route is a coin flip with a TODO comment above it. Here is both halves of that story.

machine-learningnlpawsclass-project

A 98%-accuracy offline classifier, and a deployed demo that never learned to call it — which turned out to be the more useful lesson.

Building a Pickup-Only Order Intake and Mini-CRM for a Cottage Bakery

A tactical breakdown of the pickup-only order intake site and single-admin mini-CRM I built for my wife's cottage-food bakery — and the architectural choices behind it.

local-businessfood-and-beveragetemplateautomationsecurity

Replaced DM/text/notebook order tracking for my wife's bakery with a spam-guarded, server-validated intake flow and a single-admin dashboard she checks once a day.

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