I'm an Applied AI Engineer who builds end-to-end ML systems for urban mobility and infrastructure analysis. With a background combining architecture and AI, I bring a multidisciplinary perspective to solving complex urban challenges through data-driven solutions.
Ertugrul Akdemir
Projects

End-to-end ML system that predicts urban curbside usage patterns from real-world sensor data to support dynamic infrastructure allocation.

AI copilot that transforms text prompts into 3D building models with automated climate simulation — eliminating tedious modeling and complex analysis for architects.

AI-powered platform that detects collapsed buildings from satellite imagery and generates safe navigation routes for disaster response teams.

About
Background
I'm an Applied AI Engineer who builds end-to-end ML systems for urban mobility and infrastructure analysis. With a background combining architecture and AI, I bring a multidisciplinary perspective to solving complex urban challenges through data-driven solutions.
I hold dual master's degrees in AI for Advanced Architecture and Strategic Innovation, and build ML pipelines that handle real-world sensor data, automate urban infrastructure analysis, and translate complex algorithms into actionable insights.
What sets me apart is bridging technical AI with real-world constraints. Four years as a field architect taught me systems thinking, stakeholder coordination, and execution discipline — skills I now apply to scalable ML engineering.
Education
AI for Advanced Architecture
Institute for Advanced Architecture of Catalonia (IAAC)
Strategic Innovation & Business Development
EADA Business School
Bachelor of Architecture
İzmir Institute of Technology
Experience
2025 – Present
AI Engineering Intern
AIT Austrian Institute of Technology
End-to-end ML system for urban curbside usage prediction, automated pipelines with GitHub Actions
2025
ML Developer
AdaptAI Project, IAAC
ML pipelines for 2D-to-3D model generation and urban alignment
2024
AI Developer
SeisNAV Disaster Response System, IAAC
Computer vision models for collapsed building detection and emergency navigation
2020 – 2024
Architect / Field Architect
Various Architecture Firms
Execution and coordination of residential and industrial construction projects
Contact
GitHub
github.com/ertugrul14Currently accepting new projects. Typical response time is under 24 hours.