Max Pumperla

Deep Learning Engineer | Author | Open source contributor

Max is one of Germany’s leading Data Scientists & Engineers, with proficiency in building machine learning solutions and data products, from first prototype to production. Previously a researcher in pure mathematics, he is now specializing in Deep Learning and its applications. Max is author of several machine learning books, coursera instructor and currently among the top 500 Open Source Python developers in the world.

Experience

present

Deep Learning Engineer & Python Lead at Skymind Inc.

Skymind is an artificial intelligence company focused on bringing deep learning to the enterprise.

Highlights

  • Design and implementation of Python and Java interfaces for Skymind's intelligence layer.
  • Author and maintainer of Keras model import for Deeplearning4j
  • Co-author and maintainer of ScalNet, a deep learning framework for Scala

Head of Data Science (System Owner) at CollectAI GmbH

Highlights

  • Leading Data Science department
  • Responsible for micro-service architecture & machine learning methodology
  • Implementing reinforcement learning algorithms for debt collection

Co-Founder & Advisor at Aetros UG

Highlights

  • Building a deep learning platform for data scientists
  • Working on the Python interface for the platform
  • Start-up advisory

Senior Data Scientist at Enfore AG

Highlights

  • Building a deep learning framework in Scala for Spark
  • Product taxonomy & document type classification
  • Load prediction of large-scale clusters

Senior Data Scientist at Deutsche Telekom AG

Highlights

  • Project lead for real-time bidding strategies
  • Prototyping of scalable machine learning algorithms for programmatic buying in Python and R
  • Development of predictive models in Hadoop

Senior Quantitative Analyst at Deutsche Bank AG

Highlights

  • Financial engineering in Matlab and C++
  • Statistical analyses & Data Quality in R and SAS
  • Helping with strategic project to migrate to new risk methodology

Member of Research Training Group 'Particles, Strings and the Early Universe: the Structure of Matter and Space-Time' at DESY particle accelerator

Highlights

    Education

    PhD thesis in Pure Mathematics from University of Hamburg with grade Magna cum laude

    Courses

      Diploma in Mathematics & Computer Science from Technical University of Kaiserslautern with grade 1.0

      Courses

        Awards

        PhD scholarship 'Studienstiftung des Deutschen Volkes' from Technical University of Kaiserslautern

        Award for exceptional achievements (best Diploma) from Technical University of Kaiserslautern

        Publications

        Deep Learning and the Game of Go by Manning

        Mastering Machine Learning with Spark 2.x by Packt

        A tropical view on Landau-Ginzburg models by Preprint, University of Hamburg

        G2 manifolds from K3 surfaces with non-symplectic automorphism by Journal of Geometry and Physics

        Unifying Constructions in Toric Mirror Symmetry by University of Hamburg

        On Moduli for Toric Sheaves on Weighted Projective Spaces" by Technical University of Kaiserslautern

        Languages

        German
        Fluency: native-speaker
        English
        Fluency: full-professional-proficiency
        French
        Fluency: limited-working-proficiency

        Skills

        Deep Learning Engineering
        Level: Master
        Keywords:
        • Keras
        • Deeplearning4j
        • TensorFlow
        Machine learning software
        Level: Master
        Keywords:
        • scikit-learn
        • numpy
        • scipy
        • pandas
        • opencv
        • hyperopt
        Distributed Computing
        Level: Master
        Keywords:
        • Spark
        • Hadoop
        • Spark ML & MLlib
        • Mahout
        Programming languages
        Level: Intermediate
        Keywords:
        • Python
        • Scala
        • Java
        • JavaScript
        • R
        Cloud computing
        Level: Intermediate
        Keywords:
        • AWS
        • Microsoft Azure
        • Google Cloud engine
        • Heroku
        Data storage
        Level: Intermediate
        Keywords:
        • Postgres
        • MySQL
        • Azure blob storage
        • HDFS
        • S3
        • MongoDB

        Volunteer

        present

        Mentor at Pi School

        Mentor for applied machine learning projects.

        Highlights

          Co-organizer at Géométrie Algébrique en Liberté

          Organizer of the conferences in Berlin (2011) and Grenoble (2012).

          Highlights

            Co-organizer at BPS state counting, stability conditions and derived algebraic geometry

            Organizer of the summer school in Hamburg.

            Highlights

              Organizer at University of Hamburg

              Organizer of the PhD student seminar.

              Highlights

                Interests

                Building & hacking things
                Keywords:
                • FOSS
                • Go bots
                • IKEA hacks
                Strategy board games
                Keywords:
                • Go
                • Chess
                Sports
                Keywords:
                • Bouldering
                • Taekwondo
                • Running marathons

                © 2019. Max Pumperla All rights reserved.