I build the project's data architecture.
I connect industrial projects — from the first data point to project closure. Information flows live, not in reporting cycles: every decision arrives on time, the project moves forward.
I'm a civil engineer with a master's degree and a postgraduate diploma in BIM project leadership. I've worked on industrial projects between USD 100 and 1.000 million, in sectors where data decides the outcome: mining, energy, industrial construction. The root cause of the industry's losses isn't the tools — it's the architecture of data. Each team writes in its own language. Context fragments before reaching the decision-maker. The decision arrives late to the project.
Industrial projects are transversal by nature — planning, quality, costs, procurement, administration. Each area operates with its own tools, teams, and ways of measuring. What I build is the infrastructure that connects them: automation, applied AI, and data engineering that move information across disciplines, instead of letting it stay in deliverables. The decision-maker sees the actual state of the site, not the previous report.
Five areas where information flow defines the project outcome. The common premise: if data doesn't traverse each discipline on time — from design to final delivery — decisions arrive late and the project doesn't move forward.
The project design becomes a consultable service from the site, not a closed deliverable. Changes travel live to quantities, schedule, and costs. Each role consumes information when it needs it, without waiting for the next report.
Planning anticipates the site, doesn't chase it. Each work package is released only when its constraints are cleared, and the system detects slippage before the weekly meeting. Procurement, workforce, and materials operate in predictive mode.
The supply chain syncs with the design and the schedule. Each purchase order maps to what's being built and when it's needed on site. Supplier tracking, inspections, and acceptance tests operate in the same flow as progress. Each supplier's performance is calculated automatically and reaches every review stage as data, not as perception.
Quality, cost, and schedule in a single data flow. Non-conformances appear in front of the PM the moment they're raised on site; indicators reflect the current state, not the previous report. Each role sees their reading without having to ask.
Information maintains continuity at the project's edges — between disciplines, between contracts, between those who build and those who will operate. Interfaces are managed in a live register with owners and dates; handover packages are auto-generated from the project's accumulated information. Final delivery stops being a critical event and becomes a data flow.
Tools that live inside real operations. Synthetic data to showcase capability without exposing project information.
Tell me about your industrial project — in progress, under evaluation, or just being shaped. Let's talk.