Applied Research Engineer
Research Fellow @ Australian National University, Johns Hopkins University
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🔭 I’m currently working on multi-modal machine learning and dimensionality reduction techniques.
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🌱 I’m learning programming Hetergenous Parallel Systems, focusing on CUDA and Triton for efficient machine learning implementations.
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🤔 I’m open to help with model distillation, quantization and efficient training and deployment of large ML models.
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- Developing and optimizing multi-modal model architectures with scalable data input processing to enhance performance in distributed environments.
- Streamlining model training, fine-tuning, and inference processes for seamless integration with cloud and edge computing interfaces.
- Implementing hardware- and IO-aware ML model compression techniques to optimize inference efficiency and reduce computational overhead.
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