Summary
Abolfazl Ravanshad is a Senior AI Scientist in San Francisco with nine years of experience building multimodal AI systems that blend computer vision, NLP and transformer-based models for real-time, low-latency deployments. He has led end-to-end efforts from research to production—most recently architecting sign-language translation pipelines at Intel that span edge and cloud inference—and now drives AI initiatives at Sorenson Communications. His background spans applied research, startup founding in vehicle-to-infrastructure systems, and academic work culminating in a Ph.D., giving him a rare mix of production engineering, product intuition, and rigorous experimentation. He specializes in scalable model training and deployment optimization for live systems and has a track record of turning sensor and visual data into actionable, language-centric outputs.
9 years of coding experience
9 years of employment as a software developer
Master's degree Engineering, Master's degree Engineering at Sharif University of Technology
Doctor of Philosophy (Ph.D.) Engineering, Doctor of Philosophy (Ph.D.) Engineering at University of Florida