Stam Athiniotis

Critic
DISC Type : C

Senior Autopilot Machine Learning Engineer at Tesla

Mountain View, California, United States

Overview

Stam Athiniotis is a Senior Machine Learning Engineer at Teslas Autopilot division, specializing in autonomous navigation and motion planning. A Carnegie Mellon robotics graduate, he has a proven history of designing and implementing full autonomy systems. Colleagues describe him as talented, hard-working, and dedicated.

Outside of work, Stam was a member of the Carnegie Mellon club basketball team. He has also collaborated on unique academic projects, including designing the electronics and control systems for an underwater, penguin-inspired robot, showcasing his passion for hands-on engineering and bio-inspired design.

During his masters degree, he played club basketball and was known by the nickname "The Greek Freak".

Personality Overview

ROI Driven

Precise

Objective Thinker

They like to do things independently and don’t look for support from others.  It is very likely that they will negotiate pricing or other important terms. They choose to analyze logically and value facts to emotions.

Topics They Care About

Autonomous Navigation
His entire career is focused on solving autonomous navigation, from unmanned vehicles and surgical robots to his current role developing Tesla's Autopilot.
Motion Planning
A core area of his expertise where he has redesigned vehicle behavior logic at Argo AI and focused his graduate studies at Carnegie Mellon.
Medical Robotics
He co-authored and presented research on using deep reinforcement learning to autonomously navigate a "surgical snake robot" for potential medical applications.

Media Appearances

Stam has no verified media appearances

Work History

3-2024
Senior Autopilot Machine Learning Engineer at Tesla
2-2023 - 3-2024
Autopilot Machine Learning Engineer at Tesla
10-2021 - 11-2022
Software Engineer II, Motion Planning at Argo AI
1-2020 - 10-2021
Head of Intelligent Navigation at Third Insight, Inc.
6-2019 - 8-2019
Autonomous Technology Group Intern – Behavior/Path Planning at Daimler Trucks North America

Education

2018 - 2019
Master of Science - MS from Carnegie Mellon University
2013 - 2018
Bachelor of Science - BS & Master of Science - MS from National Technical University of Athens

More Information

Social Presence :

Prographics :

Exp : 7 Location : Mountain View, California, United States Job Level : Middle Designation : Senior Autopilot Machine Learning Engineer at Tesla
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Insights For Selling To Stam

During A Call Or A Meeting

DO's

  • Leverage facts and figures wherever possible; use percentages, numbers etc.
  • Don’t forget to mention how you compare to competition on both features and pricing
  • Be ready to answer many clarity-seeking questions and requests for information

DONT's

  • Make extra effort to not seem pushy or confrontational
  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t try to give too many examples of other users, they like to make their own decisions

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Stam is

  • Proven ROI, pricing and objective proof points are the factors that sway their decision.
  • Will you ever get a clear answer from Stam

  • They are comfortable saying no if they are convinced that it is the correct decision.

Insights For Deal Planning

    How fast (or slow) will Stam move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Stam take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Stam

Personality Compatibility


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