Git Product home page Git Product logo

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.

Pramit Choudhary's Projects

awesome-projects-collection icon awesome-projects-collection

This is a beginner-friendly repo to make a collection of some unique and awesome projects. Everyone in the community can benefit & get inspired by the amazing projects present over here.

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

diffusers icon diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dtreeviz icon dtreeviz

A python library for decision tree visualization and model interpretation.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

lime icon lime

Lime: Explaining the predictions of any machine learning classifier

minidatabaseproject icon minidatabaseproject

Done as a part of the course Principles of Data Management by Professor Mike Carey @UCI

mnist_challenge icon mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

pattern_classification icon pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

repo-badges icon repo-badges

:star: use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code "quality" in a project.

rfcs icon rfcs

RFCs for changes to Rust

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.