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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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parthatom/README.md

Hi, I'm Parth Shah

A ML Engineer, a swimmer and a hobbyist film maker.

- 🥇 I am currently a Machine Learning Engineer at [Zscaler](www.zscaler.com) working with LLMs, data pipelines and everything around it.
- 🔭 I’ve worked at [Signify](signify.com) - Boston, MA as an Applied Scientist Intern, [Wadhwani AI](https://www.wadhwaniai.org/) as an ML Scientist, [SketchX](https://sketchx.eecs.qmul.ac.uk/) as a Research Scientist, [Publicis Sapient](https://publicissapient.com) as a Data Science intern and at IISc Bangalore as a Research Intern.
- 🌱 I completed my Masters in ML from UCSD in March 2024 and a bachelors from IIT Guwahati in 2018.
- 🤔 I'm always open to contributing to exciting ML projects (LLMs are a focus recently). Based on my [resume](https://parthatom.github.io/resume), if you see a good fit please feel free to reach out.
- 💬 Ask me about **Machine Learning algorithms, Large Language Models, VAEs, Python.**
- 📫 Reach me at: [[email protected]](mailto:[email protected]) or on [parthatom.github.io](https://parthatom.github.io) or on [Linkedin](https://www.linkedin.com/in/p-arth-shah/) or on [Twitter](https://twitter.com/parthsh_)

 parthatom

pytorch tensorflow opencv git

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Twitter p-arth-shah 12613339 parthshxh

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  1. OutOfDistributionDetection OutOfDistributionDetection Public

    Unsupervised Error Detection through Clustering. Work performed at IISc Bangalore

    Jupyter Notebook

  2. Estimation_bias_Q_Learning Estimation_bias_Q_Learning Public

    Minimizing the estimation bias in Q Learning

    Jupyter Notebook

  3. DNNs DNNs Public

    A package for implemnting Robust Neural Network with Logging models, Ensembles, Early Stopping, and much more.

    Python

  4. Logging Logging Public

    An easy-to-use python package to log your Machine Learning experiments directly to csvs

    Python

  5. paper_summaries paper_summaries Public

    Summaries and presentations on Research papers