Software Engineer Intern
PyTorch Core, gpu no go oom, virtual memory management, ExpandableSegments+CudaGraphTrees, cuBLASlt, autotuning kernels, unbinned preprod chips
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Bilal Khan is listed as UWaterloo SE based in Canada, Canada, Canada. AeroLeads shows a matched LinkedIn profile for Bilal Khan.
Bilal Khan previously worked as Software Engineer Intern at Nvidia and Research Engineer Intern at Databricks. Bilal Khan holds Bachelor Of Software Engineering from University Of Waterloo.
i don't use linkedin anymore. try https://bilal2vec.com or email me bilal2vec@gmail.com
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San Francisco Bay Area
PyTorch Core, gpu no go oom, virtual memory management, ExpandableSegments+CudaGraphTrees, cuBLASlt, autotuning kernels, unbinned preprod chips
San Francisco, California, United States
萌え, DBRX, scaling laws, the bitter lesson, training stability, efficient llms, adaptive computation, 3072 H100s, NCCL_DEBUG=INFO, yaml, google sheets, lots of gpu hours, hit #1 on the wandb leaderboard
Cambridge, Massachusetts, United States
Practical Optimization team. Google Brain team. trying to beat adamw, large scale hyperparameter tuning, 10^6ish tpu hours, distributed shampoo, https://arxiv.org/abs/2306.07179
Toronto, Ontario, Canada
LLM Inference team. new llm inference engine, cuda, nccl, pytorch, torchscript (rip), fastertransformer (rip) tensorrt
LLM training team. gpipe, sequence parallelism, tensorflow, jax, pytorch, numa, many tpus. marine mammals 🐳
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Bilal Khan is listed as UWaterloo SE.
Bilal Khan is based in Canada, Canada, Canada.
Bilal Khan has worked for Nvidia, Databricks, Google, and Cohere.
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Bilal Khan holds Bachelor Of Software Engineering from University Of Waterloo.
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