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Kamal Gupta Email & Phone Number

Staff Machine Learning Scientist at Tesla
Location: San Francisco Bay Area, United States 11 work roles 3 schools
1 work email found @nvidia.com 2 phones found area 142 LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 2 phones

Work email k****@nvidia.com
Direct phone (142) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Staff Machine Learning Scientist
Location
San Francisco Bay Area, United States

Who is Kamal Gupta? Overview

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Quick answer

Kamal Gupta is listed as Staff Machine Learning Scientist at Tesla, based in San Francisco Bay Area, United States. AeroLeads shows a work email signal at nvidia.com, phone signal with area code 142, and a matched LinkedIn profile for Kamal Gupta.

Kamal Gupta previously worked as Staff Research Scientist at Tesla and Research Intern at Google. Kamal Gupta holds Doctor Of Philosophy - Phd, Computer Science from University Of Maryland.

Company email context

Email format at Tesla

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{first_initial}{last}@nvidia.com
86% confidence

AeroLeads found 1 current-domain work email signal for Kamal Gupta. Compare company email patterns before reaching out.

Profile bio

About Kamal Gupta

Kamal Gupta is a Staff Machine Learning Scientist at Tesla. He possess expertise in matlab, algorithms, c, machine learning, c++ and 25 more skills.

Listed skills include Matlab, Algorithms, C, Machine Learning, and 26 others.

Current workplace

Kamal Gupta's current company

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Tesla
Tesla
Staff Machine Learning Scientist
Website
AeroLeads page
11 roles

Kamal Gupta work experience

A career timeline built from the work history available for this profile.

Staff Machine Learning Scientist

California, United States

Staff Research Scientist

Austin, Texas, Us

Building general purpose, autonomous humanoid robot capable of performing unsafe or repetitive tasks

Research Intern

Mountain View, Ca, Us

Dense Correspondence for in-the-wild image collections

May 2022 - Aug 2022

Research Intern

Santa Clara, Ca, Us

Generative modeling for textured 3D models

May 2021 - Aug 2021

Staff Research Engineer

San Diego, California, Us

Netradyne provides commercial vehicles with Advanced Driver Assistance Systems (ADAS).I am building a real-time distracted and drowsy driving solution for our device Driveri™. It seamlessly integrates into all automobiles from trucks to self-driving cars (Level 0-4) and alerts driver when it matters the most.

Mar 2017 - Aug 2018

Cofounder, Cto

Built a large scale AI platform supporting product use cases such as fashion assistant chatbot, stylist app etc.• Provided APIs (image indexing + search, image tagging) to multiple large e-commerce players• Selected for Microsoft Bizspark Global Program ($45000)• Selected for IBM Global Enterpreneur Program ($24000)

Mar 2016 - Feb 2017

Research Engineer

New York, Ny, Us

I work on learning representations from multimodal data in financial domain. Offline and online spend, behaviour on web and apps, and official records - provide numerous signals, incredible noise and exciting opportunities to learn consumer behaviour. Applications may range from advertising to trend discovery to fraud prevention.Apart from research, I assist the team in finishing food/codes/ppts/documentations. I also conducted Big Data trainings for 200+ employees (US and India).

Jul 2013 - Mar 2016

Machine Learning Intern

I am working in the Networks Research Group trying to figure out what kind of information can be leaked out of partial and sparse location information of people

Jan 2013 - Jun 2013

Research Scholar

Pittsburgh, Pa, Us

I work here on improving Visual Odometry Algorithms for distant features. The objective is to estimate the pose of an autonomous flying vehicle in a global coordinate frame, navigating along mostly GPS-denied environments. The present work is part of my Masters Project.

Jun 2011 - May 2012

Computer Vision Intern

Chutung Township, Hsinchu County, Tw

I am working in Mechanical Systems and Research Labs, my work being related to Digital Image Processing and Computer Vision for Advanced Vehicle Safety. I am developing algorithm for online obstacle detection and navigation for a vehicle with poor visibility (MATLAB and Visual C++)

May 2010 - Jul 2010
Team & coworkers

Colleagues at Tesla

Other employees you can reach at tesla.com. View company contacts →

3 education records

Kamal Gupta education

Doctor Of Philosophy - Phd, Computer Science

University Of Maryland

Masters, Electrical Engineering

Indian Institute Of Technology, Delhi

Bachelors, Electrical Engineering

Indian Institute Of Technology, Delhi
FAQ

Frequently asked questions about Kamal Gupta

Quick answers generated from the profile data available on this page.

What company does Kamal Gupta work for?

Kamal Gupta works for Tesla.

What is Kamal Gupta's role at Tesla?

Kamal Gupta is listed as Staff Machine Learning Scientist at Tesla.

What is Kamal Gupta's email address?

AeroLeads has found 1 work email signal at @nvidia.com for Kamal Gupta at Tesla.

What is Kamal Gupta's phone number?

AeroLeads has found 2 phone signal(s) with area code 142 for Kamal Gupta at Tesla.

Where is Kamal Gupta based?

Kamal Gupta is based in San Francisco Bay Area, United States while working with Tesla.

What companies has Kamal Gupta worked for?

Kamal Gupta has worked for Tesla, Google, Nvidia, Amazon Web Services (Aws), and Netradyne.

Who are Kamal Gupta's colleagues at Tesla?

Kamal Gupta's colleagues at Tesla include Michael Jew, 杨文旭, Reginald Valentine, Eka Kvitko, and Antonio Chavarin.

How can I contact Kamal Gupta?

You can use AeroLeads to view verified contact signals for Kamal Gupta at Tesla, including work email, phone, and LinkedIn data when available.

What schools did Kamal Gupta attend?

Kamal Gupta holds Doctor Of Philosophy - Phd, Computer Science from University Of Maryland.

What skills is Kamal Gupta known for?

Kamal Gupta is listed with skills including Matlab, Algorithms, C, Machine Learning, C++, Computer Vision, Image Processing, and Programming.

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