Speaker: Anthony Navarro

Product Lead- Robotics and Self-Driving Car @Udacity

Anthony currently works as a Product Lead for Udacity leading their Self-Driving Car and Robotics Nanodegree programs in Mountain View, California. After combat service in the US Army, he obtained his Master’s in Computer Engineering from Colorado State University where he focused his studies on the area of robotics. Prior to his employment at Udacity, Anthony worked as a systems and software engineer for Lockheed Martin for 7 years where he supported multiple satellite launches and operations and also conducted applied research and development on autonomous systems. While at Lockheed Martin, he was selected to participate in the Advanced Technical Leadership Program offered by the company. Prior to joining Udacity, he also led the Udacity/ PolySync self-driving car race and was a student in the first cohort of the Udacity Self-Driving Car Nanodegree program.

Find Anthony Navarro at

Talk : Self-Racing using Deep Neural Networks: Lap 2

Talk : The Basics of ROS Applied to Self-Driving Cars

Tracks

  • Deep Learning Applications & Practices

    Deep learning lessons using tooling such as Tensorflow & PyTorch, across domains like large-scale cloud-native apps and fintech, and tacking concerns around interpretability of ML models.

  • Predictive Data Pipelines & Architectures

    Best practices for building real-world data pipelines doing interesting things like predictions, recommender systems, fraud prevention, ranking systems, and more.

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Real-world Data Engineering

    Showcasing DataEng tech and highlighting the strengths of each in real-world applications.