I am an AI/ML practitioner with experience in ML pipelines, cloud-ready systems, and data-driven solutions. I completed my Master of Artificial Intelligence & Machine Learning at the University of Adelaide. I have a solid understanding of MLOps, GenAI and machine learning techniques like Vision Transformers, RAG pipelines, NLP, CNNs, LSTM, RNN, and predictive analytics. I work with Python, TensorFlow, PyTorch, and modern tools across AWS, Azure, and containerised environments.
I am passionate about modern engineering and AI tech like Kubernetes, Kafka, distributed systems, DevOps, LLMs, vector databases, retrieval systems, multimodal models, and scalable ML systems. My work includes research projects, cloud deployments, AI-driven healthcare workflows, and end-to-end ML pipelines. I enjoy translating complex outputs into practical healthcare solutions and collaborating with multidisciplinary teams.
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