Ravi Tej Akella
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Ravi Tej Akella Email & Phone Number

ML Scientist @ Tesla | Prev: Cruise, CMU, IIT Roorkee at Tesla
Location: Palo Alto, California, United States 6 work roles 2 schools
1 work email found @cmu.edu LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 86%

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Current company
Role
ML Scientist @ Tesla | Prev: Cruise, CMU, IIT Roorkee
Location
Palo Alto, California, United States
Company size

Who is Ravi Tej Akella? Overview

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Quick answer

Ravi Tej Akella is listed as ML Scientist @ Tesla | Prev: Cruise, CMU, IIT Roorkee at Tesla, a with 35777 employees, based in Palo Alto, California, United States. AeroLeads shows a work email signal at cmu.edu and a matched LinkedIn profile for Ravi Tej Akella.

Ravi Tej Akella previously worked as Machine Learning Scientist at Tesla and Graduate Research Assistant at Carnegie Mellon University Robotics Institute. Ravi Tej Akella holds Master Of Science - Ms, Robotics, 4.20 from Carnegie Mellon University.

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Email format at Tesla

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{first_initial}{last}@cmu.edu
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Profile bio

About Ravi Tej Akella

I train end-to-end self-driving neural networks at Tesla AI. Broadly speaking, I am excited about building generally intelligent agents that make our lives easier.Previously, I studied robotics at CMU and worked on goal-conditioned reinforcement learning (RL), offline RL, and autonomous navigation in off-road environments (DARPA RACER project). Around this time, I also interned as an ML engineer at Cruise. Before joining CMU, I was a research intern in TensorLab (Caltech), where I worked on sample-efficient on-policy RL. During this time, I also dabbled with research projects on RL fine-tuning for natural language generative models and high-fidelity image generative models. In another life, I received a bachelor's degree in Electronic with a minors in CS from IIT Roorkee.

Current workplace

Ravi Tej Akella's current company

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Tesla
Tesla
ML Scientist @ Tesla | Prev: Cruise, CMU, IIT Roorkee
palo alto, california, united states
Website
Employees
35777
AeroLeads page
6 roles

Ravi Tej Akella work experience

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

Machine Learning Scientist

Current

Palo Alto, California, United States

Aug 2023 - Present

Machine Learning Engineer

San Francisco Bay Area

May 2022 - Aug 2022

Research Assistant

West Lafayette, Indiana, United States

Jan 2021 - Jul 2021

Research Collaborator

Oct 2018 - Dec 2020

Analog Design Engineer

Bengaluru, Karnataka, India

- Built the testbench generation pipeline for auto-testing circuit designs, vastly improving the productivity of Verification Engineers.- Organization-wide Deployment: Currently used by all the verification teams at Texas Instruments.

May 2017 - Jul 2017
Team & coworkers

Colleagues at Tesla

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2 education records

Ravi Tej Akella education

FAQ

Frequently asked questions about Ravi Tej Akella

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

What company does Ravi Tej Akella work for?

Ravi Tej Akella works for Tesla.

What is Ravi Tej Akella's role at Tesla?

Ravi Tej Akella is listed as ML Scientist @ Tesla | Prev: Cruise, CMU, IIT Roorkee at Tesla.

What is Ravi Tej Akella's email address?

AeroLeads has found 1 work email signal at @cmu.edu for Ravi Tej Akella at Tesla.

Where is Ravi Tej Akella based?

Ravi Tej Akella is based in Palo Alto, California, United States while working with Tesla.

What companies has Ravi Tej Akella worked for?

Ravi Tej Akella has worked for Tesla, Carnegie Mellon University Robotics Institute, Cruise, Purdue University, and Caltech.

Who are Ravi Tej Akella's colleagues at Tesla?

Ravi Tej Akella's colleagues at Tesla include Radhika Roy, Simone Kwee, Wenjin Wang, Jean Pierre Mbarushimana, and Dominique Rioux.

How can I contact Ravi Tej Akella?

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

What schools did Ravi Tej Akella attend?

Ravi Tej Akella holds Master Of Science - Ms, Robotics, 4.20 from Carnegie Mellon University.

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