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.
9 years of coding experience
Bachelor's degree, Computer Engineering, GPA : 18.3/20 (3.7/4), Bachelor's degree, Computer Engineering, GPA : 18.3/20 (3.7/4) at Bu-Ali Sina University
Master's degree, Computer Engineering, GPA : 19.23/20 (4/4), Master's degree, Computer Engineering, GPA : 19.23/20 (4/4) at University of Tehran
Persian, English