Member of McNeel's R&D department.

Leading full-stack development for cutting-edge ecological research projects that transform how designers integrate environmental science into their workflows.

Ecolopes (EU Horizon 2020):

Transformed academic research to software prototypes, while architecting multi-framework infrastructure for ecological simulation and data analysis. . Architected complete backend infrastructure and software integrations of prototyped solution.

Spearheading development of a multi-tenant platform serving 62 firms across 31 countries and 7 disciplines Built secure API for authorisation and monitoring.

Rhino.Ecologic:

Engineering the development of microclimate simulation systems processing 1M+ biodiversity data points in seconds through parallelized pipelines, while maintaining scientific accuracy.. Developed spatial analysis tools integrated directly into CAD workflows.

Research Translation:

Translating peer-reviewed ecological models into production Rhino/Grasshopper plugins and React web applications. Creating intuitive interfaces that enable non-technical users to run complex environmental analyses. Building tools that bring scientific rigor to everyday design decisions.

Teaching the next generation of software developers and data scientists how to build data-driven applications, bridging the gap between data science and software engineering fundamentals.

Core Teaching:

Designing and delivering undergraduate courses in "Database Systems for Data Science" and "Software Development with Database Integration." Providing hands-on instruction in SQL/NoSQL databases, ORM frameworks (SQLAlchemy, Prisma, Mongoose), and full-stack development with data persistence. Teaching students to architect scalable applications from database design through to production deployment.

Curriculum Development:

Developed and expanded "Data, People and Society" curriculum for graduate and undergraduate students, addressing critical topics including data accessibility, ethical data processing, algorithmic bias, and the societal impacts of data-driven systems. Created coursework that challenges students to think critically about technology's role in society.

Guest Lectures:

Delivering specialized lectures on data-driven design processes, demonstrating how professional teams use data pipelines, analytics, and visualization to inform creative and business decisions.

Architecting enterprise immersive media (XR, Digital Twin) infrastructure enabling real-time collaboration for 1,500+ users across 150+ global architecture projects.

Key Contributions:

Built scalable geometry delivery backends and multi-user collaboration solutions for DCC and Unity and Unreal Engine.

Developed end-to-end data analysis pipelines transforming simulation outputs into interactive dashboards for evidence-based design decisions.

Led applied research evaluating emerging XR technologies (NVIDIA Omniverse, Apple Vision Pro, Magic Leap), presenting findings to inform major technology investments.

Consulted design teams on performance-driven computational methodologies across global studio network

Taught computational design to undergraduate architecture students, covering algorithmic thinking, parametric modeling, and digital fabrication. Curriculum focused on Python scripting, Grasshopper, and generative design systems for complex geometry.

Led global software development initiatives across 6 studio locations serving 500+ architects, engineers, and designers worldwide.

Architected enterprise sustainability platform automating carbon analysis workflows and reducing manual calculation time. Built integrated applications for data-driven decision making and design automation. Deployed interactive web-based platforms using React and Three.js for real-time 3D visualization, enhancing early-stage design exploration and client presentations.