I’m a civil engineer learning how to build engineering tools with AI that automate and improve my workflows.
Drawings, quantities, survey files and CAD geometry live in different places, and engineers move, check and re-measure that data by hand, again and again.
Start from the engineering workflow, then build the tool around its real geometry, metadata and project structure.
Repeatable, traceable workflows with fewer manual steps. The engineering decisions stay with the engineer.
Quantities, organised by where the work happened. Define the project areas once, and the calculator measures the work inside each one, splitting quantities and volumes that cross area boundaries between the areas they cross.
From coordinate and elevation data to presentation-ready reports in seconds.
Two progress drawings, overlaid. What was taken out and what was added is found and coloured automatically, and the net quantity for the period is calculated.
Major road infrastructure project covering technical-office engineering, quantities, progress measurement and digital engineering workflows.
Explored residential development opportunities in western Ukraine through market research, feasibility, cost modelling and local partnerships.
Managed £1M in Innovate UK funding and contributed to industrial decarbonization concepts for major UK energy facilities with project values up to £65M.
Worked on wind-energy infrastructure, including structural analysis and foundation design development for the Dren Wind Farm project.
Led experimental work on earth-fill dam failure and sediment transport for a TÜBİTAK-funded hydraulic engineering research project.
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