Summary
Vahid Abrishami is a Senior Data Science and ML Engineer (PhD) with 14 years of experience turning research-grade models into production-ready AI systems, currently building ML solutions at Nokia after leading real-time perception platform work at Basemark. He specializes in MLOps and ML architecture—designing CI/CD, model registries, versioned datasets, and observability stacks across Azure, GCP, and AWS—to make systems observable, cost-aware, and governance-ready. His production wins include accelerating deployments by ~30% and cutting compute by ~47% while preserving model accuracy, and shipping complex vision models (Vision Transformers, multi-task ADAS) and hybrid RAG search systems. Trained in rigorous academic settings with a PhD and postdoc work in 3D biological imaging, he brings a deep understanding of noisy, physical-data domains where models and pipelines tend to “wobble.” Colleagues rely on him to mentor cross-functional teams and translate messy product needs into clear, measurable engineering slices that scale.
14 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Universidad Autónoma de Madrid
Master's Degree Computer Engineering, Master's Degree Computer Engineering at Islamic Azad University
English, Spanish, Persian, Swedish