Skip to content
View pramitchoudhary's full-sized avatar
🎲
Stealth Mode
🎲
Stealth Mode

Highlights

  • Pro

Organizations

@h2oai @ContributingCode
Block or Report

Block or report pramitchoudhary

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
pramitchoudhary/README.md

Hi there, I am Pramit 👋

I am a seasoned Applied Machine Learning Research Scientist/data scientist/Engineer leader. My expertise is in building Statistical/Machine Learning models(Bayesian and Frequentist Modeling techniques) to help the business realize its data journey. Currently work for h2o.ai as the Lead Machine Learning Scientist/Engineer, exploring and figuring out possibilities of generative AI one commit at a time.

  • Also, exploring and helping improve ways to evaluate LLM models
  • I'm currently leading efforts on LLM2SQL assistant for QnA on structured tabular data using SQL generation, https://github.com/h2oai/sql-sidekick
  • Fun project with LLMs for image generation, https://github.com/h2oai/wave-image-styling-playground
  • Responsible for Model Analyzer, a unified interactive framework for simulation (What-If scenarios) and adversarial robustness to continuously explore and evaluate predictive model's behavior and limitations.
  • Responsible for building (including driving cross-organizational product and business strategies) AutoInsights under the guidance of Dr. Leland Wilkinson (Chief Scientist). AutoInsights is an automated self-service AI/ML system designed to discover hidden insights (auto EDA) and publish them as interactive, engaging, and actionable insights using natural language narratives.
  • Responsible for driving ML innovation/product and business strategies to improve the model interpretation ideas in h2o Driverless AI MLI.

Pinned

  1. TubeKit TubeKit Public

    Forked from Mondego/TubeKit

    crawler for YouTube

    PHP 48 12

  2. pydata-seattle-2017 pydata-seattle-2017 Public

    Forked from dataandcaffeine/pydata-seattle-2017

    Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle

    Jupyter Notebook

  3. h2oai/wave-image-styling-playground h2oai/wave-image-styling-playground Public

    A interactive playground to style and edit images, generate art and have fun.

    Python 13 2

  4. h2oai/sql-sidekick h2oai/sql-sidekick Public

    Experiment on QnA tabular data using LLMs and SQL

    Python 18