Summary
Omar Abid is a Senior Machine Learning Engineer with 11 years of experience building and shipping production-grade computer vision and MLOps solutions across cloud, edge, and on-prem environments. He has led end-to-end ML pipelines—from data prep and multi-node GPU training to model optimization and large-scale deployment—at companies like Luminar and Quantiphi, and recently developed a DocAI solution that reduced medical document extraction from days to minutes. Skilled in object detection, tracking, segmentation, pose estimation, and inference tooling (TensorRT, ONNX, Triton), he combines deep technical execution with strong infrastructure skills in Kubernetes, Docker, CI/CD, MLFlow and W&B. Based in Sunnyvale, Omar is notable for translating research-grade models into efficient real-time and edge deployments (e.g., NVIDIA DeepStream on Jetson), and for authoring practitioner-facing docs on Large Vision and Language Models to accelerate team adoption.
11 years of coding experience
6 years of employment as a software developer
MS Computer Science Computer Vision and Artificial Intelligence, MS Computer Science Computer Vision and Artificial Intelligence at York University
Emily Carr Secondary School
Urdu, English