Saad Ashraf

WORK HISTORY

EDUCATION

ABOUT SAAD ASHRAF

AI/ML engineer specializing in production-grade machine learning systems across computer vision, multimodal learning, and NLP, backed by applied research.I’ve spent 2.5 years building end-to-end ML systems, contributing to a multimodal NLP and computer vision engine used across fintech, HR, and legal workflows, delivering over a 15× efficiency improvement over manual processes. I also led the AI design, development and deployment of a real-time computer vision system for inspecting factory production lines, working across model development, evaluation, CI/CD pipelines, and containerized deployments. In production, I’ve built monitoring systems to track model performance and drift over time.I have a strong foundation in Python, PyTorch, TensorFlow, and software engineering best practices, with hands-on experience in CNN-based vision models, multimodal systems, transfer learning, and production ML monitoring.Alongside industry work, I’m completing a research-focused master’s degree at the University of Calgary, working on large-scale 3D deep learning, MRI artifact correction, and domain adaptation in GPU-based HPC environments.Currently seeking Machine Learning Engineer roles focused on building reliable, scalable ML systems with real-world impact.