Summary
Saeed Taghavi is a computational physicist and postdoctoral researcher in Madrid with eight years of experience building high-performance scientific software and production-scale DevOps infrastructure. He combines a PhD-level background in theoretical and computational neuroscience with hands-on engineering—developing embedded firmware, desktop and cloud-native applications, and automated CI/CD for multiple Kubernetes clusters. Saeed has repeatedly bridged modeling and systems: from simulation-based inference for biophysical neural models to deploying resilient, self-healing clusters monitored with Prometheus and Grafana. He excels at end-to-end technical lifecycles, translating complex numerical models into scalable, reproducible pipelines that support MLOps and Digital Twins. Less obvious: he pairs physics-driven intuition with practical tooling (Ansible, GitLab CI, Python tooling and OpenCV) to automate labor-intensive research workflows and production operations.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at Ferdowsi University of Mashhad
Master of Science (M.Sc.), Physics, Master of Science (M.Sc.), Physics at Institute for Advanced Studies in Basic Sciences, Zanjan
English, Persian