Summary
Ibrahim El-fayoumi is a Data Scientist and Principal AI practitioner with over 15 years of experience blending academic rigor (PhD in Science and Engineering) with production AI across industries from mining and energy to medical simulation. He has led teams building virtual patient chatbots and deployed industrial AI solutions for predictive maintenance, knowledge-graph-driven chatbots, and geometric neural network models using tooling such as PyTorch Lightning, TensorFlow/Keras, LangChain, Pinecone and Stable Diffusion. His career spans senior roles at Alcoa, BHP, Fortescue and Capgemini Engineering, evidencing a strong track record of moving research-grade models into high-stakes operational environments. Ibrahim’s deep background in spatial data, computer vision, time-series and LLM fine-tuning is complemented by hands-on expertise in HPC and GPU-accelerated workflows. Based in Western Australia, he combines domain knowledge in geospatial and industrial systems with cutting-edge LLM/agentic system development. He frames his work around a practical mission—Observe | Model | Disrupt—bringing curiosity from plasma physics research to industry-scale AI deployments.
10 years of coding experience
18 years of employment as a software developer
Master, Actuarial Science, Master, Actuarial Science at Curtin University
Nano Degree, Artificial Intelligence, Nano Degree, Artificial Intelligence at Udacity
Master's degree, Electrical, Electronics and Communications Engineering, Master's degree, Electrical, Electronics and Communications Engineering at Cairo University
Doctor of Philosophy (PhD), Science And Engineering, Doctor of Philosophy (PhD), Science And Engineering at Flinders University
English, Arabic