Raymond Cao

Raymond Cao

Software Enginner & Tech Enthusiast

Everlaw

Biography

Raymond Cao is a full stack software engineer at Everlaw, a cloud-based ediscovery platform. He enjoys converting teaching others the ways of computer science and spends too much time researching new JavaScript libraries, computer hardware, and convenient open source tools.

Here is the link to resume.

Interests

  • Online Privacy
  • Digital Accessibility
  • Deep Learning
  • Web Technologies

Education

  • Sc.B. in Computer Science, 2021

    Brown University

Skills

Python 3

JavaScript

ECMAScript 2016+

React.js

Hooks and all

WordPress

Custom Themes

AngularJS

NOT Angular

TensorFlow 2

Experience

 
 
 
 
 

Software Engineer

Everlaw

Jul 2022 – Present California
Currently working as a full stack software engineer on various parts of Everlaw including the permissions and design systems.
 
 
 
 
 

Intern

DataRobot

Jun 2020 – Aug 2020 Ohio
Worked as software engineering intern in the Explainable AI domain of DataRobot. Completed full stack projects for adding explainability support for multiclass models.
 
 
 
 
 

Intern

DataRobot

May 2019 – Aug 2019 Ohio
Worked as UI/UX software engineering intern in the Explainable AI domain of DataRobot. Developed React.js components for visualizing and exporting graphics for feature impact data.
 
 
 
 
 

Web Engineering Intern

Buckeye Interactive

Jun 2018 – Aug 2018 Ohio
Worked on client projects including WordPress themes and Laravel applications. Upgraded Buckeye Interactive’s internal time tracking application (a project that I had worked on in 2017) for better performance and task management capabilities.

Projects

Analyzing Presidential Farewells with GPT-2

In this project I use GPT-2, a cutting edge language model, to analyze farewell addresses from 3 U.S. Presidents.

Brown Political Review Website

The Brown Political Review (BPR) is a student run publication at Brown University. In the fall of 2018, I was hired by BPR to lead its effort to build a new website to replace its slow, aging one.

Detecting Fake News with CNNs & RNNs

As the final project of Brown University’s Deep Learning course, I teamed up with 3 classmates to reimplement the models and reproduce the results from the paper Fake News Identification on Twitter with Hybrid CNN and RNN Models (2018).

Data Analysis on U.S. Broadband

This was my final project for Brown University’s Data Science course, and I worked in a group with 3 other classmates. The purpose of our project was to pull in U.

Chinese Translation Application

During Hack@Brown 2018, I worked with three other students to design and develop a React.js app that took in Chinese text and output the corresponding pinyin as well as English translations of user-selected text.

Recent Posts

Writing Presidential Farewells with GPT-2

In this project I use GPT-2, a cutting edge language model, to analyze farewell addresses from 3 U.S. Presidents.

How to Set up SSHFS for Mac

This is a guide primarily meant to help Brown University Computer Science students get started with working remotely on department machines. If you are not part of this audience, the following instructions may still be useful, but be sure to strip out the Brown-specific parts.