I help energy leaders turn ambitious AI ideas into dependable products, intelligent data systems, and measurable operational impact—grounded in engineering reality.
Energy organizations do not need more disconnected demos. They need AI systems that understand technical context, earn user trust, and improve the decisions and workflows that matter.
My work sits at that intersection: engineering depth, AI product strategy, and enterprise delivery. The goal is not AI for its own sake. It is a clearer decision, a faster workflow, a more reliable data product, or a capability the organization can scale.
See where I focus →Focused support for leaders navigating the hardest part of applied AI: choosing the right problem, aligning the system around it, and turning it into sustained value.
Separate durable opportunities from costly distractions. Define a credible roadmap tied to users, business value, technical feasibility, and adoption.
Design systems that can reason across complex technical information while staying observable, secure, and grounded in trusted enterprise data.
Bridge subject-matter experts, data teams, software engineers, and decision-makers so complex technology can move from prototype to adoption.
Across enterprise energy, applied research, and technical education, the through-line is the same: make difficult systems clearer, faster, and more useful.
Enterprise savings delivered through optimized data extraction, automation, and more effective data delivery.
Co-inventor of an automated apparatus for characterization of fluid-solid systems, issued in 2024.
A disciplined path from an important problem to a solution people trust and use.
Define the user, the workflow, the constraint, and the measurable result before choosing the technology.
Surface the technical knowledge, data quality, system dependencies, and risks that determine whether the idea can work.
Shape the smallest credible product around real users, feedback loops, observability, and accountable ownership.
Strengthen governance, integration, and operating practices around the capabilities that demonstrate measurable impact.
Practical guidance and resources for engineers who want to apply AI with stronger technical judgment and real-world context.
Speaking & workshops↗Keynotes, executive briefings, and technical workshops for energy and engineering audiences.
Rami is an AI and energy technical leader with more than 14 years across petroleum engineering, applied research, machine learning, software, and enterprise product ownership. He is currently the Head of Technology, AI, and Data Strategy at Simple Injection.
His perspective was shaped in the field, the laboratory, the classroom, and the product room—from reservoir engineering at Saudi Aramco and industry-funded research at the University of Wyoming to building and guiding enterprise data capabilities at S&P Global Energy.
A focused, one-to-one working session for leaders and technical teams who need sharper priorities, an expert second opinion, or a credible next move.