Summary
Mazeyar Feizabadi is a CTO and co-founder with 8 years of hands-on experience building cutting-edge spatial computing and computer vision systems, now leading unflatten.io to deliver a fast, cost-effective radiance field API for 3D pipelines. Trained with a Master in Artificial Intelligence from the University of Bologna and a BS in Math & Computer Science, he bridges research and product by turning NeRF and image-matching advances into production-ready solutions. His background includes optimizing NeRF relighting for more accurate shadows, scalable Gaussian Splat implementations for large lidar/point-cloud workflows, and AI-GIS integrations that reduced data collection and compute costs for precision agriculture. Comfortable across research, DevOps automation, and teaching, he combines academic rigor with startup execution and a knack for shrinking compute and budget footprints in real-world deployments.
8 years of coding experience
1 year of employment as a software developer
Master of Artificial Intelligence, Master of Artificial Intelligence at Alma Mater Studiorum – Università di Bologna
High School Diploma, High School Diploma at Monument Mt Regional High School
Bachelor of Science - BS, Mathematics and Computer Science, Bachelor of Science - BS, Mathematics and Computer Science at Habib University
English, Persian, Italian