Moh Ashraf

I am an AI/ML leader with 10+ years architecting and delivering enterprise-scale machine learning systems, generative AI and full-lifecycle MLOps pipelines across NLP, computer vision, recommendation engines, and time-series analytics. I have a proven record deploying LLMs and reinforcement learning models that increased predictive accuracy up to 35%, reduced operational costs by 25%, and enabled autonomous decision making across multicloud and edge environments.

I design cloud-native, production-grade AI ecosystems emphasizing scalability, operational resilience, governance, and explainability, and I lead cross-functional teams to modernize AI infrastructure and accelerate adoption. My technical expertise spans PyTorch, TensorFlow, Hugging Face, Spark, Kafka, Kubeflow, MLflow, vector databases and a broad MLOps toolchain to deliver secure, compliant, high-impact solutions.