Skip to content
View calebchiam's full-sized avatar
  • Open Government Products
  • Singapore
  • 01:24 (UTC +08:00)

Block or report calebchiam

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
calebchiam/README.md

Hi there 👋

I am a Senior Software Engineer at Open Government Products - building tech for public good. The products I work on include Care360 and Scribe.

I was prevously at Cleanlab working on data-centric AI, where I built things like Cleanlab Studio and Cleanlab Vizzy.

As a student, I worked on conversational NLP and was involved in projects such as ConvoKit, an open-source Python toolkit for conversational analysis, and Chirpy Cardinal, Stanford's chatbot for the Amazon Alexa Prize Competition.

In my free time, I play chess ♟️ badly and unwind with a 20+ year old medieval clicking simulator ⚔️.

Pinned Loading

  1. CornellNLP/ConvoKit CornellNLP/ConvoKit Public

    ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the u…

    Jupyter Notebook 550 125

  2. cleanlab/cleanlab cleanlab/cleanlab Public

    The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

    Python 9.7k 748

  3. cleanlab/cleanlab-studio cleanlab/cleanlab-studio Public

    Client interface for all things Cleanlab Studio

    Python 26 7

  4. stanfordnlp/chirpycardinal stanfordnlp/chirpycardinal Public

    Stanford's Alexa Prize socialbot

    Python 131 28

  5. cleanlab/vizzy cleanlab/vizzy Public

    Cleanlab Vizzy: illustrating the core ideas behind the Cleanlab algorithm

    TypeScript 13