Summary
Martin Sarajærvi is a Senior Data Scientist based in Stavanger with 12 years of experience applying geophysics, machine learning and software engineering to seismic imaging and inversion. With a PhD in Geophysics from the University of Bergen, he has progressed from hands-on seismic processing and velocity model building to developing automated interpretation methods and ML infrastructure at Schlumberger. He blends scientific rigor in seismic waveform modelling with practical cloud-native engineering—Python, TensorFlow, C++/C#, Docker, Kubernetes and GCP—to take research algorithms into production. His work spans the full lifecycle from algorithm development to devops and scalable inference, reflecting both academic depth and operational delivery. A less obvious strength is his ability to translate complex inversion theory into reproducible, containerized workflows that accelerate subsurface decision-making.
12 years of coding experience
Doctor of Philosophy - PhD, Geophysics and Seismology, Doctor of Philosophy - PhD, Geophysics and Seismology at University of Bergen (UiB)