Summary
Ali Karimi is a Team Lead in AI & Computer Vision with over a decade of experience designing and deploying production-grade ML systems for industrial operations, currently leading Oxy’s computer vision pillar in Houston. He builds scalable real-time and edge-deployed solutions—PPE and fall detection, fire/smoke and leak monitoring, equipment condition and downhole image analysis—leveraging state-of-the-art detectors, transformers, SAM and multimodal vision-language models to deliver measurable safety and operational gains. His background blends deep academic rigor (PhD) and applied R&D in drilling automation with hands-on ML engineering across forecasting, anomaly detection, predictive maintenance and optimization. Known for translating complex physics-based problems into robust ML pipelines, he also created virtual flowmeters, routing optimizers, and training programs that scaled AI fluency across teams. Colleagues rely on him to bridge research, deployment, and business impact—often squeezing real-time inference out of constrained edge hardware while maintaining model interpretability and reliability.
8 years of coding experience
12 years of employment as a software developer
Bachelor's degree Petroleum Enginnering, Bachelor's degree Petroleum Enginnering at Petroleum University of Technology
Doctor of Philosophy (PhD) Petroleum Engineering, Doctor of Philosophy (PhD) Petroleum Engineering at The University of Tulsa
Master of Science - MS Petroleum Engineering, Master of Science - MS Petroleum Engineering at Curtin University
English, Persian