Past Speakers


There are no CFPs at QCon. Each speaker is individually invited. While the final schedule takes longer, we think it’s worth the wait. These are just some of the speakers who’ve recently presented at QCon.

Data and Analytics Group Lead @NERSC
Cofounder @CloudNative
Machine Learning Engineer @Autonomous Intelligent Driving
Data Scientist @Nooxit
Financial Crime Risk @RevolutApp
Chief Data Engineer @PayPal
Research engineer @Cloudera Fast Forward Labs
Principal Data Architect @Confluent, PMC Member @Kafka, &...
Software/Technical Advisor C4Media & QCon Chair, previous...
Editor-in-chief, InfoQ.com
Senior Director of Developer Experience @Confluent
Engineering Manager @Linkedin focused on Big Data
Machine Learning Engineer @Airbnb
Staff Software Engineer @LinkedIn
Federated Learning R&D Lead @OWKIN
Software Engineer, Search, Learning, and Intelligence @SlackHQ
Research Engineering Manager @Facebook AI Research
Senior Research Scientist @Google
Cofounder and CTO of @PassageAI
Engineering Manager @Uber
Data Scientist @Facebook
Staff ML Research Engineer @PayPal
Technical Lead of TensorFlow Mobile @Google
Data Scientist @Facebook
Head of AI @InsightDataSci
Co-Founder of KIProtect
Chief Data Scientist and CEO of @QuantUniversity
Chairman & Founder of @ICED(AI)
Core Statistics Team @Facebook
Senior Machine Learning Engineer @Adobe

2019 Tracks

  • Predictive Data Pipelines & Architectures

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

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • 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