Rishabh Jain
I'm a first year Computer Science MS student at Georgia Tech advised by Dr. Dhruv Batra. I work at the junction of machine learning and software engineering.
I'm currently working as a Graduate Research Assistant with Dr. Dhruv Batra and Dr. Devi Parikh on setting up a robust pipeline for uploading machine learning model code in the form of docker containers which will be evaluated on remote machines and the results will be displayed on the EvalAI leaderboard.
I also lead an open source organization, CloudCV where we are building tools for reproducible AI research.
Previously, I spent an year as a research scholar in Machine Learning and Perception Lab at Georgia Tech.
I am actively looking for a summer internship at the intersection of machine learning and engineering. Please feel free to reach out to me at rishabhjain@gatech.edu



EvalAI: Towards Better Evaluation Systems for AI Agents
Built an open source platform for evaluating and benchmarking AI models. We have hosted 40+ challenges with 5000+ users, who have created 40,000+ submissions.
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Fabrik: Collaboratively build, visualize, and design neural nets in browser
Online collaborative platform to build, visualize and train deep learning models via a simple drag-and-drop interface.
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VQA: Visual Question Answering Demo
In Visual Question Answering, given an image and a free-form natural language question about the image (e.g., "What kindof store is this?", "How many people are waiting in the queue?", "Is it safe to cross the street?") the model's task is to automatically produce a concise, accurate, free-form, natural language answer ("bakery", "5", "Yes"). This demo is implemented using Pythia model.
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Trick or TReAT: Thematic Reinforcement for Artistic Typography
Given an input word (e.g.exam) and a theme (e.g.education), the individual letters of the input word are replaced by cliparts relevant to the theme which visually resemble the letters - adding creative context to the potentially boring input word.
JSS InfoConnect: Information Center for College
Web based officially recognized application that acts as a medium for interaction between all students, faculties and management of JSSATE, Noida. It serves 10, 000+ requests per day, 20, 000+ registered users, 20, 000+ notices/documents uploaded along with 3 million page views since it’s launch in 2016.
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EvalAI: Towards Better Evaluation Systems for AI Agents
Deshraj Yadav, Rishabh Jain, Harsh Agrawal, Prithvijit Chattopadhyay, Taranjeet Singh, Akash Jain, Shiv Baran Singh, Stefan Lee, Dhruv Batra
nocaps: novel object captioning at scale
Harsh Agrawal*, Karan Desai*, Yufei Wang, Xinlei Chen, Rishabh Jain, Mark Johnson, Dhruv Batra, Devi Parikh, Stefan Lee, Peter Anderson


Team Lead  
(Jan. 2019 -- Present)
Actively maintain CloudCV Project which aims to make AI research more reproducible. Responsible for the design, development and maintenance of EvalAI that enable researchers to build, compare and share state-of-the-art algorithms.
Graduate Research Assistant, Machine Learning and Perception Lab
Supervised by: Dr. Dhruv Batra and Dr. Devi Parikh  
(Aug 2019 -- Present)
Built an open source platform for evaluating benchmarking AI models. We have hosted 40+ challenges with 5000+users, who have created 40,000+ submissions. The project is open source with 90+ contributors, 750+ stars, 375+ forks. Some of the organizations using it are Google, Facebook, IBM, eBay etc.and research labs fromStanford, CMU, Georgia Tech, MIT etc.also use it to host their challenges.
Visiting Research Scholar, Machine Learning and Perception Lab
Supervised by: Dr. Dhruv Batra and Dr. Devi Parikh  
(Aug 2018 -- June 2019)
Developed first of its kind large-scale benchmark for Novel Object Captioning, consisting of 166,100 captions describing 15,100 images containing more than 500 objects, out of which more than 400 objects are never described in COCO captions dataset.
Google Summer Of Code (GSoC)
Organization Administrator (2019), Organization Mentor (2018) 
(Feb 2018 -- Aug 2019)
I was selected to lead the Google Summer of Code program from CloudCV in 2019 and in the previous year I served as a mentor to help university students in software development.
Google Code In (GCI)
Organization Administrator (2018), Organization Mentor (2017) 
(Nov. 2017 -- Jan. 2018)
I was selected to lead the Google Code In program from CloudCV in 2018 and in the previous year I served as a mentor to help high school students resolve their issues while contributing in open source project and also help them achieve better understanding in software development.
Google Summer Of Code (GSoC)
Student Developer (2017)
(May. 2017 -- Aug. 2017)
In 2017, I was selected as GSoC student where I developed new features for hosting AI challenges in streamlined manner, implemented several analytics features for both participants and hosts in EvalAI.
Python Software Society of India (PSSI)
Open Source Contributor  
(July 2016 -- Oct.2016)
Developed the feature of user’s profile for Junction project. It is a software to manage proposals, reviews, schedule, feedback during conference.
iAugmentor Labs
Software Developer Internship  
(Jun.2016 -- Aug.2016)
Responsible for creating a platform for smile detection in which a classifier was trained for classifying smiling and unsmiling images using OpenCV, dlib python packages.
Nibble Computer Society (NCS)
Organizing Member  
(Feb. 2015 -- May 2017)
Responsible for the development of REST APIs and managing the infrastructure of InfoConnect. I was also responsible for Organizing college’s Tech-fest Zealicon along with its website and other management tasks.



Georgia Institute of Technology
Masters in Computer Science
Georgia Institute of Technology, Atlanta, USA  
(Aug 2019 -- Present)
Bachelor of Technology in Computer Science and Engineering
JSS Academy of Technical Education, Noida, India  
(Aug 2014 -- May 2018)
  • Passed with an aggregate of 80.4% (with Hons.)
  • Class Rank: 8th out of 150 Students (or top 5%)