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.

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Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches, including image recognition, NLP, predictions, & modeling.

  • Deep Learning in Practice

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe including use cases on machine translation, computer vision, & image recogition.

  • AI Meets the Physical World

    Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.

  • Papers to Production: CS in the Real World

    Groundbreaking papers make real world impact.

  • Solving Software Engineering Problems with Machine Learning

    Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.

  • Predictive Architectures in the Real World

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix.