Shubham Agrawal

Shubham Agrawal Email and Phone Number

Robotics @ Tesla Optimus | Robotics Research @ Samsung AI NY | Tesla Autopilot | IIT Kanpur CS | CA Fellow Columbia University @ Tesla
Shubham Agrawal's Location
New York, New York, United States, United States
Shubham Agrawal's Contact Details

Shubham Agrawal work email

Shubham Agrawal personal email

n/a
About Shubham Agrawal

I am a Senior Researcher at Samsung Research America in New York City, where I work on robotics, computer vision, and machine learning. I am fortunate to be working under the supervision of Prof. Volkan Isler. Before joining Samsung, I received my CS master's from Columbia University with a focus on robotics and computer vision. During that time, I did several research projects under the supervision of Prof. Shuran Song. I did my Bachelor's in Computer Science from IIT Kanpur. In the past, I also worked at Tesla Inc and Adobe Systems as a software development engineer.

Shubham Agrawal's Current Company Details
Tesla

Tesla

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Robotics @ Tesla Optimus | Robotics Research @ Samsung AI NY | Tesla Autopilot | IIT Kanpur CS | CA Fellow Columbia University
Shubham Agrawal Work Experience Details
  • Tesla
    Senior Robotics Engineer
    Tesla Mar 2024 - Present
    Austin, Texas, Us
  • Samsung Research America (Sra)
    Senior Researcher, Machine Learning Research
    Samsung Research America (Sra) Mar 2023 - Feb 2024
    Mountain View, California, Us
  • Samsung Research America (Sra)
    Engineer Machine Learning Research
    Samsung Research America (Sra) Jun 2021 - Mar 2023
    Mountain View, California, Us
  • Tesla
    Autopilot Intern
    Tesla Jun 2020 - Sep 2020
    Austin, Texas, Us
    Worked on identifying and associating the same objects visible in multiple cameras to create object tracks across time. Implemented and wrote verification scripts for object tracks outlier rejection component.
  • Columbia University In The City Of New York
    Teaching Assistant (Applied Machine Learning)
    Columbia University In The City Of New York Jan 2020 - Apr 2020
    New York, Ny, Us
    Course link: https://www.cs.columbia.edu/~amueller/comsw4995s20/
  • Columbia University In The City Of New York
    Teaching Assistant (Advanced Database Systems)
    Columbia University In The City Of New York Jan 2020 - Apr 2020
    New York, Ny, Us
    Course website: http://www.cs.columbia.edu/~gravano/cs6111/index.html
  • Columbia University In The City Of New York
    Head Teaching Assistant (Computational Aspects Of Robotics)
    Columbia University In The City Of New York Jan 2020 - Apr 2020
    New York, Ny, Us
  • University Of Southern California
    Student Research Assistant
    University Of Southern California May 2019 - Aug 2019
    Los Angeles, Ca, Us
    Robotics Embedded Research Laboratory (https://robotics.usc.edu/resl/)- Worked on differentiable physics simulator which allows parameter estimation for nonlinear dynamical systems using automatic differentiation. Implemented Adjoint Method for getting fast differentials of integrated ODEs using C++ template metaprogramming.- Implemented simulation visualizer web app using nodejs+gulp+browserify and MVC architecture pattern (without framework). The web app has interactive 3D simulations (Babylon.js), player progress bar, plots, logs, and multi-window support (golden-layout).- Archive link: https://arxiv.org/pdf/2001.08539.pdf
  • Adobe
    Member Of Technical Staff
    Adobe Jul 2017 - Jan 2019
    San Jose, Ca, Us
    - Implemented CRUD operations for highlight/underline/sticky notes for the next generation PDF web view using Javascript.- Formulated an efficient algorithm for modeling an annotation's position across multiple PDF views (with variable structure and content).- Shipped fixes for multiple critical security vulnerabilities (null pointer dereferencing, buffer overflow, JavaScript parameter tampering).
  • Adobe
    Research Intern
    Adobe May 2016 - Aug 2016
    San Jose, Ca, Us
    - Created a novel end-to-end system for automated design of affinity (user's interest) based smart geofences for selective targeting.- To unsheathe interest from sparse location-tagged browsing data, the three-step user affinity modeling approach sequentially utilizes pair-wise product-product, user-user, and semantic location-location similarities.- Users are segmented based on affinity using K-means clustering and CH-index. Final geofences are created by clustering nearby points using DBSCAN and calculating the boundary using alpha-hull. - US Patent US20180232767A1- Conference paper Smart Geofencing with Location Sensitive Product Affinity. ACM SIGSPATIAL 2017
  • Pariksha.Co
    Backend Developer Intern
    Pariksha.Co May 2015 - Jul 2015
    Pune, Maharashtra, In
    - Engineered an algorithm that adaptively recommends questions depending upon student’s performance and question ratings. - We also modeled and programmed scalable adaptive question recommender system using GO language and MongoDB database as a micro service.- Also, Implemented Pariksha Practice Section for adaptive content and a Gamification engine with impact on 20K students

Shubham Agrawal Education Details

  • Columbia University
    Columbia University
    Computer Science
  • University Of Southern California
    University Of Southern California
    Computer Science
  • Indian Institute Of Technology, Kanpur
    Indian Institute Of Technology, Kanpur
    Computer Science

Frequently Asked Questions about Shubham Agrawal

What company does Shubham Agrawal work for?

Shubham Agrawal works for Tesla

What is Shubham Agrawal's role at the current company?

Shubham Agrawal's current role is Robotics @ Tesla Optimus | Robotics Research @ Samsung AI NY | Tesla Autopilot | IIT Kanpur CS | CA Fellow Columbia University.

What is Shubham Agrawal's email address?

Shubham Agrawal's email address is sh****@****obe.com

What schools did Shubham Agrawal attend?

Shubham Agrawal attended Columbia University, University Of Southern California, Indian Institute Of Technology, Kanpur.

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