machine learning algorithms, Transformer, convolutional neural networks and their applications in Generative AI, NLP, computer vision and image/video processing
nalyzing ML workloads on different HW architecture — profiling and identifying the performance bottleneck in the system, coming up with suggestions for performance improvement either at algorithm, SW and HW level.
- Understanding the system implications of aforementioned algorithms in terms of performance and power on a given HW architecture.
- Knowledge in LLM pipeline, image processing, camera pipeline, computational photography and natural language processing
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