Dr. Ofir Friedman combines a strong technical background with a talent for clearly communicating sophisticated ideas. With a PhD in Materials Science and considerable experience in software development, Ofir specializes in writing accessible, practical content covering topics like Agentic AI, AI-driven coding tools, and machine learning pipelines.
Currently an AI Engineer at Qodo, Ofir develops intelligent solutions designed to improve code analysis, automated testing, and developer collaboration. Previously, at MaterialsZone, he led projects using GenAI to convert unstructured data into actionable insights, significantly improving productivity in software development workflows.
Ofir’s academic background, including postdoctoral research at the Weizmann Institute of Science, shapes his unique ability to connect concepts across materials science, AI, and software development. Known for his clear explanations and approachable style, Ofir regularly shares insights that help developers successfully adopt AI technologies to solve real-world problems.
