Syed Rashid is Head of Artificial Intelligence with 8 years of experience building production-grade AI systems that bridge research and industry, currently based in Islamabad. He has led scalable multi-GPU training pipelines and cloud-native deployments (AWS SageMaker) and delivered real-time computer vision solutions for safety, vehicle/plate recognition, and mobile/video analytics across energy, gaming, and enterprise customers. His background spans doctoral research in medical imaging and genomics—developing nuclei instance segmentation and survival-analysis pipelines—through to applied ML products like cost-anomaly detection and anti-money-laundering prototypes. Comfortable moving models from notebook to production, he combines deep academic expertise with hands-on orchestration of large-scale datasets and infrastructure. An implicit strength is his ability to adapt advanced research methods to pragmatic, revenue-driving applications across diverse domains.
8 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at National University of Sciences and Technology (NUST)
Master of Science - MS Computer Science, Master of Science - MS Computer Science at National University of Computer and Emerging Sciences
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Syed Rashid - Head Of Artificial Intelligence at Red Buffer