In this episode, Engin Anil, the VP of Software Engineering at Gatik, joins the podcast to discuss the complexities and challenges in the autonomous vehicle space. Amir and Engin explore the sophistication of autonomous vehicle technology and the need to build confidence and trust in these vehicles. The episode sheds light on the intricate nature of coding for autonomous vehicles, comparing it to the coding required for Boeing or Airbus airplanes. Tune in to gain insights into the impacts and complexities of autonomous vehicles and the software behind them.

Highlights:

[00:01:05] Complexity of autonomous vehicles. 

[00:05:48] Differentiating between vehicles. 

[00:10:38] Transferable skills in computer vision. 

[00:13:41] Ramp up on history 

[00:18:04] Cross-disciplinary work in perception. 

[00:19:13] Perception problem in AI algorithms. 

[00:23:01] The magnitude of ambition.

Guest:

Engin Anil is the VP of Software Engineering at Gatik. Engin focuses on operational excellence in autonomous technology and robotics by hyper-focusing organizations on what is important. He empowers engineering, product, and operations teams to take products to market quicker by rapid development and customer feedback iterations. He bridges his teams and executive leadership, ensuring open communications. Engin creates a safe environment where people can lean on both individual and team strengths while continuing to learn and grow. Engin earned a PhD from Carnegie Mellon University.

LinkedIn: https://www.linkedin.com/in/ebanil/

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Please message me at https://www.linkedin.com/in/amirbormand (Amir Bormand)