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Achievement: Pull Sharkx2Achievement: Quickdraw

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Achievement: Pull Sharkx2Achievement: Quickdraw

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Kavish1294/README.md

About Me

I'm a Scientist, with a Physics Ph.D., specializing in building production machine learning systems on large‑scale experimental data, developing physics‑informed machine learning models, and engineering fully end‑to‑end data analysis pipelines.

Tech I use in my work

Languages

Python C++ SQL Bash LaTeX Fortran

Machine Learning & Statistical Modeling

scikit-learn PyTorch LibTorch mlpack statsmodels

Scientific Computing & Data Wrangling

NumPy SciPy pandas HDF5 GNU Scientific Library

Data Visualization

Matplotlib seaborn Plotly

MLOps & Workflow Orchestration

Apache Airflow MLflow Docker GCP

High-Performance & Parallel Computing

CUDA CuPy HPC/Slurm MPI OpenMP Apptainer Spack

Developer Tooling

Git CMake

Large Language Model Usage

Claude

Pinned Loading

  1. gw-ml-lab gw-ml-lab Public

    A selection-aware ML pipeline for gravitational-wave catalogues

    Python

  2. climateStudy climateStudy Public

    A clustering analysis to see which regions of earth have warmed the same way.

    Jupyter Notebook

  3. MCradtrans MCradtrans Public

    PINNs for MC radiation transport problems

    Python

  4. branchingstochasticNN branchingstochasticNN Public

    testing benchmarks for branching stochastic neural network.

    Python

  5. 3axismagnetometer 3axismagnetometer Public

    code to run the 3axis magnetmeter

    C++

  6. nEDM_PT nEDM_PT Public

    Analysis and Simulations for the nEDM@SNS P/T Measurements

    Jupyter Notebook