Speaker: Alexander Harmsen

CEO/Founder @iris_automation

Alexander Harmsen is CEO and Co-Founder of Iris Automation, a high tech start-up building computer vision collision avoidance systems for industrial drones. With backing from Bessemer, Y Combinator, over $10M in private equity investment from other Silicon Valley investors, and operations in multiple countries, Iris Automation is attempting to radically disrupt the industrial drone sector. He also sits on the Board of Directors for Unmanned Systems Canada, a national industry representation organization that has been at the forefront of commercial unmanned systems for more than a decade.
Previously, Alexander was the first Software Developer at Matternet, a medical drone package delivery start-up, and worked on computer vision systems at NASA’s Jet Propulsion Lab in Los Angeles. He is very interested in intersections between drones, autonomous vehicles and real-world applications that will affect billions of people, always excited about meeting other people making big changes in the world!

Find Alexander Harmsen at

Talk : Dive Deep into Building Computer Vision Systems for Self-flying Drones

Talk : Constraints of Building a Modern Drone

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.