Mehdi Paydayesh
Senior Domain Data Scientist @SLB
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WORK HISTORY
Senior Domain Data Scientist @SLB
GB
Developed and implemented an AI-driven workflow for automating multi-physics geophysical monitoring for CCS, enhancing decision-making processes and operational efficiency. Developed a workflow for extracting drilling and geological insights from of unstructured documents using traditional data science techniques and Generative AI Created an AI multi-agentic system to perform co-pilot analysis on drilling and geological data Applied fine tuning of a language model on Petro technical data
EDUCATION
Udacity
Nanodegree, Machine Learning Engineering
Petroleum University of Technology
BSc, Petroleum Exploration Engineering
Heriot-Watt University
PhD, Reservoir Geophysics
Udacity
Nanodegree, Product Management
Udacity
Nanodegree, Digital Marketing
Le Wagon
Data science Bootcamp, Data science
University of Calgary
MEng, Petroleum Exploration Engineering
SKILLS
ABOUT MEHDI PAYDAYESH
My work sits at the intersection of subsurface geoscience, CCS, and applied AI, focusing less on hype and more on decisions that actually matter.I stay close to the technical frontier (LLMs, machine learning, data platforms), but I care most about what changes when these tools are used: clearer uncertainty, better judgment, and faster learning inside engineering teams.I believe the real edge in AI is not models alone, but how systems amplify human intelligence, while remaining grounded in domain reality.I enjoy working with teams that value clarity, trust, and thoughtful engineering over noise.I’m particularly interested in shaping technical direction, mentoring engineers, and helping teams translate AI capability into sound decisions.
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