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jaystary/README.md

Hi IΒ΄m Jay πŸ‘‹

I πŸ’› working with distributed systems & Kubernetes in the ML space as architect & engineer

BIO

I worked on some (successful and some not so successful) out-of-the-box projects in the ML & Data space, building up Infra & Algorithms from scratch and bringing it into operations.

Picked up my fair share of Lessons learned along that path and always on the hunt for new things to learn.

Things i work with:

Go Python GraphQL

Kubernetes Terraform Docker

GitHub GitLab Visual Studio Code

AWS Azure

Playstation 4 Apple

  • 🌍 I'm mostly active around Kubernetes and Kubeflow and their respective ecosystems

  • πŸ’¬ IΒ΄m interested in Open Source Machine Learning and its ecosystem, Kubernetes, ML Lifecycle Optimization, ML & Data Architecture, Engineering Management,

  • β›³ Hole in counter: 1

  • 🌱 Motto: Eat first ask later - it broadens my perspective

  • I get productive after meetings....

🌞 Morning    0 commits         β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   0.0% 
πŸŒ† Daytime    0 commits         β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   0.0% 
πŸŒƒ Evening    0 commits         β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘   0.0% 
πŸŒ™ Night      100 commits       β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆ   100%

Pinned Loading

  1. lambda-docker-streamlit-cdk lambda-docker-streamlit-cdk Public

    Example how to use lambda and custom containers to create serverless microservice for ML Inference for CPU bound requests

    Python 1

  2. tacotron2 tacotron2 Public

    Tacotron 2 - PyTorch implementation with faster-than-realtime inference based on NVIDIA implementation

    Jupyter Notebook 2

  3. twilio_translate_lambda twilio_translate_lambda Public

    Proof of concept / Infrastructure

    Python

  4. oauth2-okta-fargate oauth2-okta-fargate Public

    POC for a app with Oauth2 through Okta integration

    Python 1