Aerospace Engineer
I connect aerospace engineering, quality systems and manufacturing data to make complex industrial operations more reliable, traceable and predictive.
Engineering profile
My work sits where physical systems meet digital intelligence: non-destructive testing, production quality, MES data and continuous improvement. I turn field observations into structured analysis, dashboards and practical corrective actions.
“Move industrial operations from detecting problems to predicting and preventing them.
Future Flight Lab · Vision concept
A future-facing startup direction: convert existing aircraft into cleaner, smarter and more competitive platforms through modular cabin systems, lightweight materials, digital twins, predictive maintenance and propulsion-ready retrofits.
Explore the visionField experience
Each internship is presented through engineering artifacts: controlled data structures, analysis workflows, decision dashboards and implementation roadmaps.
Internship 01 · Engineering evidence
A quality-focused aerospace experience built around non-destructive testing, inspection performance, recurring defect analysis and compliance-minded reporting.
Internship 02 · Engineering evidence
An Industry 4.0 direction centered on Aprizo/MES data, production KPIs, traceability, quality losses and the path toward predictive manufacturing.
Selected concepts
These concepts translate internship learning into portfolio-ready engineering work—designed to leave a reusable tool, not just a report.
Inspection data → defect classification → recurring-cause analysis → corrective actions → measured improvement.
A dashboard direction for OEE, FPY, cycle time, downtime, scrap and process bottlenecks using MES data.
A systems-engineering concept for modular, safer and more eco-efficient upgrades to the aircraft already flying.
Capabilities
Engineering fundamentals, safety mindset and operational rigor.
Inspection reporting, traceability and structured quality records.
Inspection support, indication analysis and recurring-defect thinking.
Excel, Power BI, KPIs, dashboards and before/after measurement.
MES/Aprizo, virtual line concepts and predictive analytics.
Pareto, 5 Why, PDCA and root-cause-oriented action.
Next mission
Interested in aerospace quality, industrial performance, NDT, data analysis and Industry 4.0 opportunities.
Back to flight deck
