HELLO, I AM
AECTech & Parametric Design Specialist.
Empowering better design through custom coding, AI, and generative geometry.
With over a decade of experience in the AEC industry, I specialize in developing advanced digital tools. My background bridges the gap between high-level engineering (Arup) and software development.
Currently a PhD Candidate at the University of Thessaly and a Freelance Consultant, I build frameworks that automate complex geometries, optimize building performance, and integrate AI into architectural workflows.
Providing high-level consultancy for architectural firms. Focusing on custom C#/Grasshopper tool creation, BIM automation, and geometry rationalization.
Developing fabrication detailing software at Branch.
Developing custom digital solutions and design research strategies.
Led the parametric building design automation framework. Key projects include The Valley, Elements Tower, and Smakkelaarspark. Optimized workflows for structures, facades, and MEP using custom algorithms.
Delivered parametric design workshops for the Architecture department while conducting PhD research.
Teaching "Advanced Computational Design" — specialized courses on computational methodologies and AECTech workflows.
Lecturing on Digital Tools for Environmental Analysis, Solar/Daylight Analysis using Ladybug Tools, and custom typology optimization.
Research Topic: Generative Sustainable Performance Design Exploration Applied to Greek Urban Typologies.
Focus: Machine Learning, Data Science, SQL, and AI applications in engineering.
Thesis: "Parametric Massing Optimization Tools" (MEOtoolbox).
Honors: Energy Club Member, TU Delft Future Learning Competition Winner.
5-Year Professional Diploma (MSc Equivalent).
Issued Dec 2010.
Co-authored with Ioanna Symeonidou. Presents a parametric model for the typical Greek Urban Typology (Polykatoikia) to identify sustainable design strategies.
Documenting the parametric design work on the Elements project and real-world international case studies.
Case study of the Smakkelaarspark development in Utrecht, demonstrating data-driven massing design.
Analysis of the "Valley" project in Amsterdam, focusing on constructability optimization tools.
Overview of automated data-mining processes used to analyze the Groningen building stock for structural upgrading.
The rising importance of engineering and financial objectives in early design stages.
Building custom plugins and automation tools.
Advanced geometry and environmental analysis.
Leading digital transformation in AEC.
Amsterdam | via Arup
Managed complex parametric façades and geometry rationalization for the iconic mixed-use development.
Groningen | via Arup
Automated data-mining processes to analyse and classify the building stock in the Groningen Region"
Utrecht | via Arup
Developed custom computational design workflows to resolve complex urban and environmental integration challenges.
AmsterdamDIATBNRRH1MJ | via Arup
Implemented state of the art generative design optimisation workflows to achieve a tower form that maximises design targets"