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    Christopher Flynn

    Director of Machine Learning Systems at SimpleBet

    Christopher Flynn is a highly skilled professional with a Mathematics PhD from Stevens Institute of Technology.

    His expertise lies in architecting and developing scalable and secure machine learning and data platforms in the cloud.

    Christopher has a strong educational background, with degrees in Mathematics, both at the Master's and Doctoral levels, as well as a Master's in Structural Engineering.

    He has held key positions such as Director of Machine Learning Systems and Machine Learning Systems Architect at SimpleBet, showcasing his leadership and technical capabilities.

    Christopher has also worked in various data engineering and data science roles at companies like Tilting Point, Mitosis Games, Zynga, and Verizon, gaining valuable industry experience.

    His research experience at MIT Lincoln Laboratory highlights his analytical and problem-solving skills.

    Currently, Christopher is focused on building a cutting-edge machine learning and data platform using tools like Python, Apache Airflow, Kubernetes, MLflow, and PostgreSQL.

    His contributions to the Open Source community can be found on GitHub, and he shares personal projects on flynn.gg, demonstrating his passion for innovation and collaboration.

    Christopher Flynn
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    Location

    New York City Metropolitan Area