Summary
Amir Mousavi is a software engineer with 11 years’ experience applying computer vision and AI to production systems, currently working at eBay after leading ML engineering at Matt3r. He blends research-grade expertise—from a Master’s in Computer Science with a computer vision focus and research roles at University of Toronto and Meta FAIR—with hands-on production skills in containerized inference, Airflow orchestration, TensorRT optimization and ClearML/Triton deployments. Amir has repeatedly cut model runtimes and scaled inference pipelines (example: reducing PyTorch e2e runtimes from 2 minutes to 20 seconds) and introduced CI/CD practices to safeguard model integrity. Comfortable across the stack, he pairs frontend and UI experience with deep learning work, and his curiosity about human perception drives engineering choices inspired by the visual system. Based in the San Francisco Bay Area, he thrives at the intersection of perceptual research and pragmatic product delivery.
10 years of coding experience