// SYSTEM ONLINE
// NEURAL LINK: ENGAGED// UPTIME: 8Y// TRANSMISSIONS: 088// ARCHIVES: 09

CORTICAL
STACK_

Cyberware storage unit for experiments and field notes, pushing boundaries at the intersection of human creativity, machine intelligence, and agentic systems.

// DEPLOYMENTS

OPERATIONS

Field-deployed apps, systems and platforms at scale.

// OPERATION 01 / 23

Agentic Engineering Coaching

Agentic AIClaude CodeCopilot CLICoaching

Field-deploying agentic engineering practice with software teams. Disciplined coding-agent workflow staged as research -> plan -> implement -> validate, with context-window hygiene to fight context rot. Productized in a custom Claude Code and GitHub Copilot CLI template that orchestrates the stages through skills, label-driven state, hooks, and a Ralph-style autonomous harness that closes the issue-to-PR loop hands-free.

// CLASSIFIED PERSONNEL FILE

DOSSIER

Jon-Paul Boyd
OPERATIVE.0001
NAME / CALLSIGN
JON-PAUL BOYD // JP
CURRENT POSITION
AI Engineer · Microsoft Switzerland
LOCATION
Switzerland

Field-deployed AI Engineer for over 6 years. Previous tours included Lufthansa Group, leading the One Data Platform AI squad and driving ML, MLOps, and GenAI engineering across the Group.

Earlier postings: SAP HANA technical architect at Nestlé, then engineered AC Immune's first cloud-hosted Azure ML platform. Foundations laid in data engineering, ML, and applied research before the GenAI wave.

Master of Intelligent Systems with distinction from De Montfort University, 2021. 90% average across modules and thesis. Off-grid: two beautiful daughters, kiteboarding, a book a week.

[ download full dossier → cv.pdf ]
// LOADOUT

TECH

Tools of the trade.

AI / ML

  • Python
  • LangGraph
  • Agents
  • RAG
  • Fine-Tuning
  • LLMs
  • Foundry SDK
  • MLOps
  • GenAIOps
  • Prompt Engineering
  • Agentic Engineering
  • Responsible AI
  • LLM-As-A-Judge
  • Multi-Modal

Cloud

  • Azure
  • Bicep
  • Terraform
  • APIM
  • Docker
  • CI/CD
  • Security

Data

  • Ontologies
  • OWL 2
  • Knowledge Graphs
  • SPARQL
  • Azure ML
  • Vector Search
  • SQL
  • Pandas

Tooling

  • Claude Code
  • Copilot CLI
  • Bash
  • Jupyter Notebooks
  • VS Code
  • Git
  • GitHub Actions
// ARCHIVE

ACADEMIC
ARCHIVES

9 declassified case files from the Master of Intelligent Systems program. De Montfort University, 2019-2021. Graduated with distinction.

MTGRADE 90%

Masters Thesis: COVID-LEAP

Azure-hosted knowledge base with BERT semantic search across 4.7M coronavirus research paragraphs and 500K clinical trials.
// CASE FILE
ACIGRADE 88%

Applied Computational Intelligence

Predicting customer churn, appetency, and up-selling for KDD Cup 2009. Gradient boosting placed 34/89.
// CASE FILE
CIOGRADE 100%

Computational Intelligence Optimisation

HOP: Python hyper/meta-heuristic platform (SA, GA, PSO, DEA, ES) on the flow-shop scheduling problem and continuous benchmarks.
// CASE FILE
ANNGRADE 80%

Artificial Neural Networks

Neural-network intrusion detection on the DARPA/MIT Lincoln dataset, plus NDVI-based crop prediction with ANNs.
// CASE FILE
AIPGRADE 81%

Artificial Intelligence Programming

Natural-language movie-database querying with NLTK + WordNet generating SQL, plus a Prolog/NLP state-of-the-art review.
// CASE FILE
DMGRADE 94%

Data Mining

Cardiovascular-mortality risk classifiers on the Framingham Heart Study (SAS Enterprise Miner): decision trees, neural networks, gradient boosting.
// CASE FILE
FLGRADE 98%

Fuzzy Logic

Python fuzzy inference system for breast-cancer tumour classification on the Wisconsin dataset. Beat neural nets, decision trees, and random forests.
// CASE FILE
MRGRADE 100%

Mobile Robots

V-REP simulated robot with ultrasonic sensors learning to wall-follow. PI/PID controller cut navigation error 55.8%; SAR variant with A* path-finding.
// CASE FILE
RMGRADE 96%

Research Methods

Critical evaluation of an immersive-VR analytics paper, and a PhD proposal for augmented analytic knowledge discovery.
// CASE FILE
// COMMS

CONTACT

Open a channel. For collaborations, AI engagements, or signal in the noise.