Tanmay Agarwal

Tanmay Agarwal Email and Phone Number

Co-Founder and CEO @ Parallax Worlds
Stanford, CA, US
Tanmay Agarwal's Location
Stanford, California, United States, United States
Tanmay Agarwal's Contact Details

Tanmay Agarwal work email

Tanmay Agarwal personal email

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About Tanmay Agarwal

I am a Masters's student in Computer Science at Stanford University, working at the Stanford Vision and Learning Lab with Prof Fei Fei Li and Prof Jiajun Wu. I have also served as a TA for some of the largest classes at Stanford with hundreds of enrolled students. I am passionate about applying machine learning to address impactful real-world problems. Previously, I have worked on AI algorithms for underwater robots, agricultural drones, and mobile home robots, and have published my work at leading conferences. I was also an Editor at The Gradient, a digital AI-focused magazine, where I co-authored the bi-weekly newsletter(~20k subscribers). I previously was a Partner at Atland Ventures, a student-run Venture Capital firm where we invested in seed-stage companies across various industries.

Tanmay Agarwal's Current Company Details
Parallax Worlds

Parallax Worlds

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Co-Founder and CEO
Stanford, CA, US
Employees:
6
Tanmay Agarwal Work Experience Details
  • Parallax Worlds
    Co-Founder And Ceo
    Parallax Worlds
    Stanford, Ca, Us
  • Stealth
    Co-Founder
    Stealth Apr 2024 - Present
    Los Angeles, California, Us
    Building in Robotics Software
  • Stanford University
    Graduate Teaching Assistant
    Stanford University Apr 2023 - Mar 2024
    Stanford, Ca, Us
    Teaching Assistant forProf. Fei-Fei Li - CS231N: Deep Learning for Computer Vision Prof. Marco Pavone, Prof. Jeannette Bohg & Prof. Dorsa Sadigh - CS 237B Principles of Robot Autonomy IIProf. Mac Schwager - CS237A: Principles of Robot Autonomy I
  • Nvidia
    Deep Learning Intern, Autonomous Vehicles
    Nvidia Jun 2023 - Sep 2023
    Santa Clara, Ca, Us
    Worked on machine learning methods for trajectory planning for self-driving cars with Dr. Chris Maes's team. Collaborated with engineers and scientists in cross-functional teams to develop novel training methodologies and AI models for autonomous driving.
  • Stanford Artificial Intelligence Laboratory (Sail)
    Graduate Research Assistant With Prof Fei Fei Li And Prof Jiajun Wu
    Stanford Artificial Intelligence Laboratory (Sail) Sep 2022 - May 2023
    Stanford, California, Us
    Conducting research on multimodal robotics, such as ObjectFolder - the world's first multisensory benchmark with visual, tactile, and auditory information. Also interested in multimodal simulations, home robotics and scalable learning.
  • Sentera
    Computer Vision Engineer
    Sentera Jun 2021 - Jan 2023
    St Paul, Minnesota, Us
    Applied computer vision algorithms to develop advanced agricultural AI solutions. Worked in inter-disciplinary teams to prototype and pilot experimental projects for clients.
  • University Of Minnesota
    Robotics Research Assistant, Prof Junaed Sattar
    University Of Minnesota Sep 2019 - May 2021
    Minneapolis And St. Paul, Minnesota, Us
    Developed the first human motion prediction algorithm for underwater perception (IROS 2021). Worked broadly on deep learning algorithms for underwater human-robot collaboration.
  • Atland Ventures
    Managing Partner
    Atland Ventures May 2020 - Dec 2020
    Minneapolis, Minnesota, Us
  • Atland Ventures
    Vp Stakeholder Relationships
    Atland Ventures Oct 2019 - May 2020
    Minneapolis, Minnesota, Us
    Atland is a student run venture capital firm with $1.025M under management. The first of its kind in the United States that provides students fund managers carry over the investments. Building meaningful relationships with our Portfolio companies, advisors and LPs as the Vice President for Stakeholder Management
  • Atland Ventures
    Partner & Analyst
    Atland Ventures Feb 2019 - Oct 2019
    Minneapolis, Minnesota, Us
    Conduct due diligence, perform investment analysis through primary and secondary research, and develop investment theses that are presented to student managers, and Midwest and Silicon Valley VCs that serve as advisors
  • Starkey Hearing Technologies
    Systems Automation And Verification Engineering Intern
    Starkey Hearing Technologies May 2019 - Aug 2019
    Eden Prairie, Mn, Us
    • Designing, coding and building a 5 DOF robotic arm for Automated Systems Verification of Hearing Aids• Testing and verifying systems requirements for Starkey products across mobile, software development and firmware departments
  • University Of Minnesota
    Research Assistant, Supercdms (Cryogenic Dark Matter Search)
    University Of Minnesota Sep 2017 - Apr 2019
    Minneapolis And St. Paul, Minnesota, Us
    Developing tools that can help detect Dark Matter

Tanmay Agarwal Skills

Leadership Research Communication Radioactive Sources Neutron Detection Robotics Computer Vision Venture Capital Machine Learning Investment Analysis Microcontrollers Entrepreneurship Product Design Business Analysis 3d Printing Event Planning Financial Analysis Data Analysis C++ Matlab Solidworks Mathematica Microsoft Office Microsoft Excel Microsoft Powerpoint C Html Javascript Cascading Style Sheets Python Creative Problem Solving Public Speaking Robot Operating System Slam Deep Learning

Tanmay Agarwal Education Details

  • Stanford University
    Stanford University
    Computer Science
  • University Of Minnesota
    University Of Minnesota
    Summa Cum Laude

Frequently Asked Questions about Tanmay Agarwal

What company does Tanmay Agarwal work for?

Tanmay Agarwal works for Parallax Worlds

What is Tanmay Agarwal's role at the current company?

Tanmay Agarwal's current role is Co-Founder and CEO.

What is Tanmay Agarwal's email address?

Tanmay Agarwal's email address is ta****@****era.com

What schools did Tanmay Agarwal attend?

Tanmay Agarwal attended Stanford University, University Of Minnesota.

What skills is Tanmay Agarwal known for?

Tanmay Agarwal has skills like Leadership, Research, Communication, Radioactive Sources, Neutron Detection, Robotics, Computer Vision, Venture Capital, Machine Learning, Investment Analysis, Microcontrollers, Entrepreneurship.

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