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messing around
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messing around

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jahnavi-yelamanchi/README.md

hi, i'm jahnavi 👋

ML Systems · Inference Infrastructure · Applied AI
MS Computer Engineering @ NYU · CILVR / GRAIL Lab


I work across the ML stack — GPU kernels, inference serving infra, and LLM-powered products. Most recently a Graduate Researcher at NYU CILVR (GRAIL Lab) under Prof. Lerrel Pinto on visuo-tactile world models for robot perception. Prior research at NUS (multilingual representation learning) and IIT Bombay E-Yantra (robotics control).

Currently targeting MLE / AI Engineer roles.

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  1. DeepSpeed DeepSpeed Public

    Forked from deepspeedai/DeepSpeed

    DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

    Python

  2. forge forge Public

    GPT-2 kernel fusion with Triton: a FlashAttention-style fused causal attention kernel, benchmarked and profiled on an NVIDIA A100.

    Python

  3. vllm-project/vllm vllm-project/vllm Public

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python 86.3k 19.4k

  4. private-text private-text Public

    Python

  5. ticket-priority-classifier ticket-priority-classifier Public

    Python

  6. server server Public

    Forked from triton-inference-server/server

    The Triton Inference Server provides an optimized cloud and edge inferencing solution.

    Python