Skip to content
You must be logged in to sponsor lresende

Become a sponsor to Luciano Resende

@lresende

Luciano Resende

lresende
San Francisco Bay Area

I have been contributing to open source at The ASF for over 10 years. I am a member of ASF and I contribute to various big data related Apache projects around the Apache Spark ecosystem including Apache Bahir, Apache Toree. My contributions to the Jupyter Ecosystem projects aim on building scalable, secure and flexible Enterprise Data Science platforms based on Jupyter Notebooks.

Featured work

  1. elyra-ai/elyra

    Elyra extends JupyterLab with an AI centric approach.

    Python 1,849
  2. elyra-ai/kfp-notebook

    This repository is no longer maintained.

    Python 25
  3. lresende/enterprise_gateway

    A lightweight, multi tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across an Apache Spark cluster.

    Python 3
  4. lresende/incubator-toree

    Mirror of Apache Toree (Incubating)

    Scala 1
  5. lresende/bahir

    Mirror of Apache Bahir

    Scala 3
  6. lresende/bahir-iot-demo

    Apache Bahir - MQTT Analytics demo using Apache Spark and Apache Bahir

    JavaScript 7

Select a tier

$ a month

Choose a custom amount.

$50 a month

Select

This will allow me to work on general development and maintenance of Apache and Jupyter projects and research topics related to "building scalable, secure and flexible Enterprise Data Science platforms based on Jupyter Notebooks."

$100 a month

Select

This will allow me to work on general development and maintenance of Apache and Jupyter projects and research topics related to "building scalable, secure and flexible Enterprise Data Science platforms based on Jupyter Notebooks."

At this level, we can schedule a 30 mins meeting once a month to discuss open-source and related projects/features/design etc

$250 a month

Select

This will allow me to work on general development and maintenance of Apache and Jupyter projects and research topics related to "building scalable, secure and flexible Enterprise Data Science platforms based on Jupyter Notebooks."

At this level, we can schedule a 30 mins meeting once a week to discuss open-source and related projects/features/design etc