sample contributor in table

README.md

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 ![Figma](https://img.shields.io/badge/figma-%23F24E1E.svg?style=for-the-badge&logo=figma&logoColor=white) ![React](https://img.shields.io/badge/react-%2320232a.svg?style=for-the-badge&logo=react&logoColor=%2361DAFB) ![Next JS](https://img.shields.io/badge/Next-black?style=for-the-badge&logo=next.js&logoColor=white) ![FastAPI](https://img.shields.io/badge/FastAPI-005571?style=for-the-badge&logo=fastapi)
 
 ## Contributors
+|  <div style="width:100px">Name + Headshot </div>| Badges | Notable Contributions | 
+| ----------- | ----------- |----------- |
+| ![Alt text](image.png) Beep Boop| ![Google Cloud](https://img.shields.io/badge/GoogleCloud-%234285F4.svg?style=for-the-badge&logo=google-cloud&logoColor=white) ![Terraform](https://img.shields.io/badge/terraform-%235835CC.svg?style=for-the-badge&logo=terraform&logoColor=white)| <ul><li>[#130: Developed pipeline for pushing docker images](https://github.com/DSC-McMaster-U/Auto-ML/pull/130)</li><li>[#109: K8s manifest for frontend](https://github.com/DSC-McMaster-U/Auto-ML/pull/130)</li></ul>
 
 
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 ## About the Project
 <!-- TODO: insert screenshot of application page-->
 Automation has been making its way into all industries and services, including machine learning! Automating the training and development of models makes machine learning more accessible to user's with little to no background in ML. It takes the user's task, uses a training dataset to fit and tune models to the desired model metrics, and returns a functioning classification model to the user. Google Cloud provides an [AutoML](https://cloud.google.com/vertex-ai/docs/beginner/beginners-guide) service (which we will be taking major inspiration from), and they define it as below: