Rishit Dagli Rishit-dagli

GitHub Campus Expert
  • High School, Incoming University of Toronto
  • Mumbai

Becoming an Expert

Becoming an Expert

How to complete the application to become a GitHub Campus Expert.

Becoming an Expert

Introduction

Introduction

An introduction to Campus Experts and campus communities.

Introduction

Inclusive Communities

Inclusive Communities

How to start creating inclusive communities on campus.

Inclusive Communities

Information Design

Information Design

How to design workshops, worksheets, and other learning experiences from first principles.

Information Design

Public Speaking

Public Speaking

How to speak publicly, from writing a talk to wowing an audience.

Public Speaking

Introduction to Git

Introduction to Git

Take your first steps with Git, versioning your files and collaborating with confidence.

Introduction to Git

Community Impact

Community Impact

Apply what you've learnt by making a plan for the future of your community.

Community Impact

About Rishit

Intro Image

ūüĎč I am a high school student from Mumbai, India and an incoming student at the University of Toronto. I love working with Machine Learning, especially Computer Vision and Kubernetes but by night you will also find me working with Android.

I am an active contributor to multiple open-source projects in the attempt to do my bit for the community. I also love building open-source projects some of which were also socially impactful (usually related to Machine Learning) and some of which have also been #1 trending on GitHub. Seeing my work at a rather young age, I was invited to speak at 2 TEDx and 1 TED-Ed events. I also love hackathons and community and I have represented my country in multiple international hackathons and won a few too, I am also a Linux Foundation Dan Kohn Scholar. Most of the time you will find me working on new Math or Machine Learning research ideas and I have a couple of published papers as well.

My co-ordinates are at:

Random Stuff

I also play Valorant, GTA 5, Apex Legends (a bit) and CS: GO, feel free to play with me.

My favourite equation is

\[Attention(Q, K, V) = softmax(\frac{Q K^T}{\sqrt{d_k}})V\]

Thanks for reading!

Skills

machine learning
research
computer vision
python
kotlin
kubernetes
tensorflow
pytorch

Recent activity

No recent activity

Rishit has yet to plant their flag ūüö©.