Process engineering · Operational software · AI systems
Industrial constraints turned into tools for faster planning, cleaner data and private AI workflows.I turn industrial constraints into operational software for logistics, planning, data quality and private knowledge workflows.
Selected work
Eight operational tools, each reduced to the decision it makes easier.
Python pipeline that internalises panel nesting for healthcare modules: Revit exports become validated panel lists, CNC layouts, packaging logic and multi-format outputs for suppliers.
Container loading estimator for the offer phase. Product codes and quantities become crate scenarios, loading simulations, saturation values and logistics cost-control signals.
Operational companion to CargoCast: confirmed packing-list data becomes accurate load layouts, saturation values and transport-ready checks for logistics.
Decision-support tool for technical hospital doors. Parses product strings, models weights and generates crate or pallet configurations under real logistics constraints.
Excel/VBA planner that turns order data, capacities and average times into an automatic Gantt schedule for production resources and project changes.
Excel/VBA data-governance layer for a large international B2B contact base: validation, deduplication, guided input and Outlook-ready commercial workflows.
Exploration of local LLM and RAG architectures for fragmented technical documentation, focused on privacy, source-linked answers and the future ÆMed path.
A collection of lightweight analytics and automation tools that clean exports, build reports and convert scattered operational data into decision-support information.
about
I work across operations, data, suppliers, customers and AI: the useful middle layer where messy constraints become faster decisions and cleaner execution.
Management engineering gives the method; software gives the leverage. I map how work really happens, remove manual friction and ship tools that people can trust when time, cost and coordination matter.
operational thesis
Make operational work measurable, repeatable and faster.
40-70%
manual planning effort cut
Estimated range across scheduling and logistics workflows.
85k+
contacts cleaned and governed
CRM records structured, deduplicated and made operational.
2-5x
faster recurring reports
Raw exports turned into repeatable analysis-ready outputs.
0
external AI data exposure
Local retrieval tests designed around controlled documents.
Process clarity
I turn tacit know-how, exceptions and handoffs into explicit operating logic.
Decision speed
I compress planning, logistics and reporting into outputs people can act on quickly.
AI leverage
I use AI as a controlled amplifier for analysis, documentation, code and knowledge retrieval.
operating loop
process
map the constraint
model
formalise the logic
tool
ship the interface
iterate
tighten in use
toolkit
applied stackBuild
Optimize
Data + AI
Operations
contact
I build operational software for planning, logistics, data quality and private AI workflows. The best starting point is a concrete constraint, a spreadsheet nobody trusts, or a process that takes too long.