Gunshi Gupta

Gunshi Gupta

Deep Learning Researcher

Wayve

Biography

Hey! I’m a deep learning researcher at Wayve, a startup based in London that is employing end-to-end deep learning with Reinforcement Learning to achieve autonomous driving. I recently graduated from a Machine Learning Research Master’s at Mila (Sept 2020) where I primarily did research on bayesian deep learning, continual learning and inverse reinforcement learning.

I was introduced to robotics during a year-long research internship at IIIT, (Hyderabad, India 2017-2018), where I worked on Multi-Robot SLAM and view-invariant recognition for place recognition and relocalisation.

Download my resumé.

Interests

  • Bayesian Deep Learning
  • Continual and Online Learning
  • Learning from Demonstrations
  • Robotics

Education

  • Research Master's in Machine Learning, 2020

    Montreal Institute of Learning Algorithms

  • B.Tech in Maths and Computing (Applied Mathematics), 2016

    Delhi Technological University (DTU/DCE)

Experience

 
 
 
 
 

Deep Learning Researcher

Wayve

Jul 2020 – Present London
I am part of the policy learning team that focuses on exploring algorithms that can learn in robust and sample-efficient manner aided by expert demonstrations.
 
 
 
 
 

Graduate Research Assistant

Robotics Research Center, IIITH

Feb 2017 – Apr 2018 Hyderabad

Here I:

  • Developed a Multi Robot Visual SLAM framework for the Center for Artificial Intelligence and Robotics (CAIR, India) that was tested using the Husky UGV platform
  • Published “View-Invariant Intersection Recognition from Videos using Deep Network Ensembles” at IROS 2018
 
 
 
 
 

Software Developer

Microsoft

Jun 2016 – Feb 2017 Hyderabad
  • Built prediction and summarisation modules for employee performance feedback using deep learning and NLP
  • Organised workshops on ‘Machine Learning Fundamentals’ for Microsoft employees.
 
 
 
 
 

Computer Vision Intern

Nayi Disha Studios

Jan 2016 – Mar 2016 Hyderabad
Developed a camera-based tracking system for gestures and actions to replace Lidar for interactive gameplay-based primary-school education platform.
 
 
 
 
 

Software Developer Intern

Microsoft

Jun 2014 – Aug 2014 Hyderabad
 
 
 
 
 

Computer Graphics Intern

Freshmonk

Oct 2013 – Dec 2013 Hyderabad
Automated the process that takes in a client uploaded image to be printed on tshirts, and provides the different color stencils for screen-printing

Projects

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Autonomous Driving using IRL

Learning from Demonstrations with Inverse Reinforcement in CARLA

Training diverse ensembles for OOD object detection

Exploring Stein Variational Inference for ensemble training

Stein methods for Robot Navigation

Poster ICML workshop on stein’s method

Publications & Preprint

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Contact

  • Queen Mary Road, Montreal, QC H3W1W3
  • Monday 10:00 to 13:00
    Wednesday 09:00 to 10:00
  • Book an appointment