Mayank Garg Email & Phone Number
@generalrobotics.company
LinkedIn matched
Who is Mayank Garg? Overview
A concise factual answer block for searchers comparing this professional profile.
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.
Email format at General Robotics
This section adds company-level context without repeating Mayank Garg's masked contact details.
AeroLeads found 1 current-domain work email signal for Mayank Garg. Compare company email patterns before reaching out.
About Mayank Garg
Mayank Garg is a Software Engineer at General Robotics.
Mayank Garg's current company
Company context helps verify the profile and gives searchers a useful next step.
Mayank Garg work experience
A career timeline built from the work history available for this profile.
Software Engineer
Current
Software Engineer
- 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.
Swe Intern
- 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.
Graduate Research Assistant
- 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.
Software Developer Internship
- 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.
Software Development Engineer
- 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.
Summer Internship
- 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.
Teaching Assistant
Mayank Garg education
Master Of Science - Ms, Computer Science
Bachelor Of Technology - Btech, Electronics And Communcation Engineering
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.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial