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Mayank Garg Email & Phone Number

Software Engineer at General Robotics
Location: San Francisco Bay Area, United States, United States 9 work roles 2 schools
1 work email found @generalrobotics.company LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 86%

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Work email m****@generalrobotics.company
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Current company
Role
Software Engineer
Location
San Francisco Bay Area, United States, United States
Company size

Who is Mayank Garg? Overview

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Quick answer

Mayank Garg is listed as Software Engineer at General Robotics, a company with 27 employees, based in San Francisco Bay Area, United States, United States. AeroLeads shows a work email signal at generalrobotics.company and a matched LinkedIn profile for Mayank Garg.

Mayank Garg previously worked as Software Engineer at Scaled Foundations and Software Engineer at Tesla. Mayank Garg holds Master Of Science - Ms, Computer Science from Arizona State University.

Company email context

Email format at General Robotics

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{first}.{last}@generalrobotics.company
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AeroLeads found 1 current-domain work email signal for Mayank Garg. Compare company email patterns before reaching out.

Profile bio

About Mayank Garg

Mayank Garg is a Software Engineer at General Robotics.

Current workplace

Mayank Garg's current company

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General Robotics
General Robotics
Software Engineer
California, United States
Employees
27
AeroLeads page
9 roles

Mayank Garg work experience

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

Software Engineer

Austin, Texas, US

  • Led the enhancement of Tesla’s Warp Installbase, the central web application managing and serving as the source of truth for data on charging and energy products. Achieved a 15% increase in data retrieval efficiency.
  • Engineered and launched robust APIs that integrated seamlessly with multiple internal systems, increasing data accessibility for over 20k users across the organization and improving cross-functional project turnaround.
  • Led the design and deployment of a Kafka consumer that processed and registered hundreds of equipment data entries daily, alongside developing a real-time notification system that reduced system response times by 40%.
  • Orchestrated the migration and integration of the entire audit history feature for Tesla’s Warp Installbase application from a SQL database to ClickHouse, a columnar storage database. This strategic move significantly.
Jul 2023 - May 2024

Swe Intern

Austin, Texas, US

  • Developed and implemented a Supercharging portal for landlords, enabling streamlined property management and improved operational efficiency.
  • Single-handedly designed and built a centralized platform that provided landlords with a wide range of features and functionalities, resulting in enhanced business performance and customer satisfaction.
  • Successfully launched the Supercharging portal, facilitating seamless property management and establishing Tesla as a leader in providing innovative solutions for landlords in Europe.
Feb 2023 - May 2023

Graduate Research Assistant

Cognition(Nlp) & Intelligence Lab, Asu
  • Led a DARPA-funded project focused on developing a machine learning-based agent capable of detecting novelties in open-world multi-agent environments, specifically within the context of the Monopoly game, without.
  • Achieved the highest accuracy of 91.3% among participating universities in Phase 3 evaluations conducted by USC, validating the effectiveness of the developed agent in identifying and adapting to novel situations.
Dec 2021 - Feb 2023

Software Developer Internship

Detroit, Michigan, US

  • Developed and implemented internal tools and infrastructure, resulting in a 4x increase in data accessibility speed for analysts and engineers, reducing data retrieval time from minutes to seconds.
  • Revised and expanded the Rocket Design System by creating and refining sets of components and UI design patterns, leading to a 20% improvement in development efficiency and consistency.
  • Implemented performance optimizations across the entire web application stack, resulting in a 30% reduction in page load times and a 50% decrease in database query response times, significantly enhancing the end-user.
May 2022 - Aug 2022

Software Development Engineer

Bengaluru East, Karnataka, IN

  • Led the development of system software for real-time machine learning (ML) applications on Samsung mobile devices such as Night Mode, Shot Suggestion, and Single Take.
  • Implemented support for new operations in deep neural networks (DNN) across popular frameworks like TensorFlow, TFLite, and Caffe, ensuring efficient and secure execution for real-time use cases.
  • Optimized performance by implementing mixed-precision format (FP16) and authoring compute unit-specific kernels, resulting in up to 2.5x reduction in inference time and memory usage for demanding model architectures.
Jun 2019 - Oct 2020

Summer Internship

Munich, DE

  • Assisted in development of the model for ”Road accident Detection on CCTV Traffic Videos, where we considered Road accident as an anomaly and applied unsupervised learning.”
  • Achieved the accuracy of 80% on German,Avenue,and UCSD dataset.
May 2018 - Jul 2018
2 education records

Mayank Garg education

Master Of Science - Ms, Computer Science

Arizona State University

Bachelor Of Technology - Btech, Electronics And Communcation Engineering

International Institute Of Information Technology Hyderabad (Iiith)
FAQ

Frequently asked questions about Mayank Garg

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

What company does Mayank Garg work for?

Mayank Garg works for General Robotics.

What is Mayank Garg's role at General Robotics?

Mayank Garg is listed as Software Engineer at General Robotics.

What is Mayank Garg's email address?

AeroLeads has found 1 work email signal at @generalrobotics.company for Mayank Garg at General Robotics.

Where is Mayank Garg based?

Mayank Garg is based in San Francisco Bay Area, United States, United States while working with General Robotics.

What companies has Mayank Garg worked for?

Mayank Garg has worked for General Robotics, Scaled Foundations, Tesla, Cognition(Nlp) & Intelligence Lab, Asu, and Rocket Mortgage.

How can I contact Mayank Garg?

You can use AeroLeads to view verified contact signals for Mayank Garg at General Robotics, including work email, phone, and LinkedIn data when available.

What schools did Mayank Garg attend?

Mayank Garg holds Master Of Science - Ms, Computer Science from Arizona State University.

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