Architecture projects — spatial design, material research, and built environments.
Ertugrul Akdemir
Projects
Finalist in IAAC's 10th Advanced Architecture Contest — an AI-driven built environment proposal exploring cohabitation between humans and other species.
2nd place national competition — a public ramp and spatial reactivation of a symbolic administrative building in Konak Square, İzmir.
A healing sanctuary for children battling malnutrition, weaving culture and nature through wood and rammed earth construction — Top 50 international competition entry.
A collection of selected architectural visualizations, design explorations, and mixed-media studies.
Full technical application drawings for a sailing store in Çeşme, İzmir — every architectural element selected from manufacturer catalogs and drawn to construction detail.
Urban revitalization of Hereke through adaptive reuse and new construction — an uninterrupted cultural axis from beach to interactive carpet museum.
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.