- 🔭 I'm a Machine Learning Systems Engineer at Qualcomm, building high-performance LLM inference serving on the Qualcomm AI 100 product line
- 🚀 Adapting and extending serving stacks like vLLM, LLM-D, and LMCache for specialized AI hardware
- 💬 Ask me about LLM serving, KV cache, PagedAttention, vLLM, adversarial ML
- 🧪 Earlier work in adversarial machine learning and computer vision — NAG, FaceAgingGAN, and a Springer-published paper on extended Kalman filtering
- 📫 How to reach me gokkulnathts@gmail.com
- 🏢 Qualcomm work account: @quic-gthiruko
👨🔬
Learn | Unlearn | Relearn
ML Systems Engineer @ Qualcomm — LLM inference serving on the Qualcomm AI 100. vLLM · LMCache · KV cache.
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Qualcomm
- Bangalore, India
- https://gokkulnath.site
- @gokkulnath
Highlights
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pytorch/vision
pytorch/vision PublicDatasets, Transforms and Models specific to Computer Vision
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NAG_Pytorch
NAG_Pytorch Public[CVPR 2018] Pytorch implementation of NAG : Network for Adversary Generation
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FaceAgingGAN
FaceAgingGAN PublicFaceAgingGAN : Uses Cycle GAN with UTKFace Dataset
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Presentations
Presentations PublicLearning Materials Used for Teaching/Training during Workshops & Meetups
Jupyter Notebook
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PaperReading
PaperReading PublicPlaceholder for Annotated Research Papers in Deep learning discussed in Blog Posts. Most of the papers related to Adversarial ML and GAN.
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