About me

Hi, I’m Wajeeh Ul Hassan, an AI Engineer and MLOps expert with the ability to execute complex projects independently. With a Master’s degree in Information Technology specializing in Data Science from QUT, Brisbane, Australia, I’ve honed my expertise in building and scaling AI systems that deliver real-world impact.

My work focuses on developing and deploying advanced AI solutions, including Retrieval-Augmented Generation (RAG), Generative AI applications, and scalable ML pipelines. I’m skilled in tools like Kubernetes, Kubeflow, Hugging Face, and PyTorch, allowing me to seamlessly integrate AI models into production environments. I’ve also worked extensively with DataOps frameworks, feature stores like Feast, and modern data architectures like Apache Iceberg.

As the creator of Hands-on MLOps with Kubeflow, I’ve empowered professionals to master AI system deployment and lifecycle management. Whether it’s fine-tuning large language models, deploying end-to-end MLOps pipelines, or architecting solutions in Generative AI, I specialize in delivering robust, scalable solutions from start to finish.

I’m passionate about pushing the boundaries of Generative AI and MLOps, with a vision to lead innovations and inspire others in this transformative field. Let’s build the future of AI together!
I’m currently available for freelance work.

For project inquiries, reach me at: wajeehulhassan_vii@hotmail.com