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I may be slow to respond.
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I may be slow to respond.
171 followers · 628 following

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx4Achievement: Starstruck

Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx4Achievement: Starstruck

Organizations

@the-code-experiments @snippet-builder @techsavvyjitsu @get-react-components @my-thought-experiments @geeksplusplus

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hegdeashwin/README.md

Hi there 👋

Software craftsman @ PayPal. Part of Compute Platform Risk Engineering group. Work closely with Data Science and Research team to build Platforms, SDK/APIs/UI, Pipelines, Automation around AIML deliveries on MLOps, Model Repository and Inferencing on pre-production and production env.

Design, develop, & maintain distributed system platform and services. I enjoy the craft of building software. Team mentor and trainer to scale up on domain, technical and systems knowledge.

On my free time I do enjoy birds watching & photography, study Ornithology to improve on my domain knowledge and research. Follow me on Instagram at @exploregeographics

What fascinates me?

  1. Science - Gravity, Quantum Physics & Mechanics.
  2. Einstein's special and general theory of relativity.
  3. Nature inspired engineering (Biomimicry).

Others

  1. (Filed Patent) Optimal compressed feature representation deployment for automated refresh in event driven deep learning paradigm.

  2. (Published Video by Packt) GraphQL a better REST

Pinned Loading

  1. ray ray Public

    Forked from ray-project/ray

    An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyp…

    Python 1

  2. mlflow mlflow Public

    Forked from mlflow/mlflow

    Open source platform for the machine learning lifecycle

    Python 1

  3. my-thought-experiments/explore-tensorflow my-thought-experiments/explore-tensorflow Public

    A collection of documents and programs to learn about Data Science and ML using TensorFlow.

    Jupyter Notebook 1

  4. the-code-experiments/dl-prerequisite the-code-experiments/dl-prerequisite Public

    Deep Learning Prerequisite

    Jupyter Notebook 2 1

  5. the-code-experiments/experiment-ml the-code-experiments/experiment-ml Public

    This project covers the basics of Machine Learning - theory and coding.

    Jupyter Notebook 1

  6. the-code-experiments/get-to-know-golang the-code-experiments/get-to-know-golang Public

    A complete training kit on Go programming language syntax for beginners.

    Go 5 1