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ritunjaym/README.md

Hi there 👋

Ritunjay Murali

Engineer with a soft spot for performance, correctness, and clean experiments. I work across ML and systems: from training/serving setups to the lower-level pieces that make them work.

What I’m into (right now)

  • Making training & inference runs easier to reproduce (env scripts, small profilers, benchmarks)
  • Distributed training & serving ergonomics
  • Compilers/kernels when performance actually matters

Open source (actively exploring)

I’m currently evaluating issues and planning first PRs in:

  • PyTorch / JAX (distributed, compile/Inductor/XLA)
  • vLLM / model-serving tools
  • TVM / compiler tooling
  • AWS Neuron samples/SDK (Trainium/Inferentia)

(I’ll link PRs here as they open/merge.)

Projects

  • Starlink handover analysis — mobility + network performance. Link
  • Respiratory sound classification — applied ML with a short paper. Link

Contact

Pinned Loading

  1. respiratory-sound-classification-ai respiratory-sound-classification-ai Public

    AI-powered respiratory disease detection using deep learning on audio spectrograms | Published IEEE Research | Multi-class classification of 8 respiratory conditions including COPD, Asthma, and Pne…

    Jupyter Notebook

  2. starlink-satellite-handover-analysis starlink-satellite-handover-analysis Public

    Empirical analysis of LEO satellite network handover behavior using real Starlink performance data. Automated collection of 500+ data points revealing 73% connection stability and optimal elevation…

    Jupyter Notebook