Product and Application Engineer | Industrial Software • Sensors & Measurement • Systems Integration
I connect industrial products and operations with software, data and decision systems.
My work sits where industrial products meet enterprise software. One half is product and application engineering: choosing and applying the right product for real operating conditions, proving what a measurement system actually measures, and resolving machine integration at protocol level. The other half is service and business systems: carrying operations into traceable structures through requirements, data models, ERP configuration, go-live and handover. Ten years across industrial products, production, quality, service and software sits underneath both.
This profile is the lab side of that work: tender intelligence tooling, agent governance harnesses, MES-style traceability, safety-lab middleware, and control simulations. Where AI assists development, that is stated openly; architecture, data models and test design are owned end to end.
| Domain | Technologies & Standards |
|---|---|
| Product & Application | Measurement Verification Repeatability Protocols Failure Characterisation Specification Integrity Root Cause Analysis |
| Systems & Integration | Requirements Interface Management Technical Documentation FAT/SAT Support Modbus CANopen/EDS OPC UA MQTT |
| Industrial & Safety Context | HIMA SILworX IEC 61508 CENELEC EN 50126/50128/50129 IEC 62443 Concepts Siemens TIA Portal |
| Backend & Data | Python Django Flask FastAPI C#/.NET C SQL PostgreSQL REST API |
| Service & Business Systems | ERP Configuration Lightweight ERP MES-Style Workflows Serial/Batch Traceability RBAC SLA & Escalation Workflows |
| Infrastructure & Tooling | Linux Docker Git Jira Node-RED Grafana InfluxDB |
| AI & Simulation | LLM API Integration Prompt & Context Engineering RAG Concepts Reinforcement Learning |
| Project | Status | Stack | Description |
|---|---|---|---|
| tender-tracker | Operational tool | Python FastAPI LLM-optional |
Local-first market and tender intelligence: deterministic sector rules before optional LLM filtering; SMTP/Telegram alerts, automated tests, GitHub Actions releases. |
| minimum-governed-harness (Context Rail) | Active | Repo-local validators CI |
Governed repository memory and delivery harness for coding agents: bounded knowledge sources, task-linked traceability, root-cause-first defect handling, versioned releases. |
| ansys-scade-modbus-integration-middleware | PoC, lab-validated, not SIL-certified | C Modbus TCP/IP SCADE |
C-based middleware connecting an ANSYS SCADE Display CTC interface with a HIMA SILworX interlocking lab setup; presented at TOK 2025. |
| aerospace-manufacturing-execution-system | PoC, pilot-ready model | Python Django Docker PostgreSQL |
MES-style traceability application for a manufacturing scenario: RBAC, compatibility rules, FIFO allocation, UUID serialization, audit trails. |
| unstructured-data-extraction-engine | Operational tool | Python NLP RAG |
ETL utility converting 20+ document, spreadsheet, configuration, log and PDF formats into machine-actionable text for analytics and migration workflows. |
| neural-adaptive-control-simulation | Research | Python TensorFlow RL |
Adaptive control simulation for an inverted pendulum, combining learning models with control theory concepts. |
Voice Spec Agent — AI-assisted requirements elicitation and engineering handoff system: deterministic orchestrator, multi-provider LLM gateway, Git-backed requirement history, and a deterministic test suite. Private repository; code available on request.
- Product & Application Engineering: Product and configuration selection, measurement verification, failure characterisation, and protocol-level machine integration.
- Service & Business Systems: Requirements, data models, ERP configuration, serial traceability, go-live and adoption with handover discipline.
- Industrial Data & Integration: PLC/OT data flows, edge-versus-cloud placement trade-offs, and operational reporting.
- AI-Enabled Operational Workflows: Requirements automation, LLM-assisted decision support, and human-in-the-loop delivery systems.
Own. Build. Deliver.