Max Pumperla
Professor | Data Scientist & Engineer | Author | Speaker | Open Source Contributor
Max is an experienced Data Scientist and Deep Learning Engineer, 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 400 Open Source Python developers in the world.
- [email protected]
- Website
- https://maxpumperla.com
- GitHub
- maxpumperla
- maxpumperla
- Max Pumperla
Experience
– present
Staff Engineer at Anyscale Inc.
Anyscale is the company behind the Ray project for distributed computing.
Highlights
- Working on "Learning Ray" and the "Applied RL with RLlib" course.
- Redefining top-level APIs for Ray 2.x
- Building new structure for all documentation.
–
Head of Product Research at Pathmind Inc.
Pathmind trains policies for your simulations and deploys them in your operations
Highlights
- Leading research for core product development
- Building Pathmind's Python stack
- Working on Reinforcement Learning applications with Ray
– present
Data Science Professor at IU Internationale Hochschule
IU is a thought leader in online education in Germany.
Highlights
- Reinforcement Learning
- Big Data Technologies
- Foundations of Open Source Python Development
–
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
Learning Ray by O'Reilly
Elephas: Distributed Deep Learning with Keras & Spark by The Journal of Open Source Software
Logodetect: One-shot detection of logos in image and video data by The Journal of Open Source Software
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
- Swedish
- Fluency: elementary-proficiency
- Spanish
- Fluency: elementary-proficiency
Skills
- Deep Learning Engineering
- Level: MasterKeywords:
- Machine learning software
- Level: MasterKeywords:
- Distributed Computing
- Level: MasterKeywords:
- Programming languages
- Level: IntermediateKeywords:
- Cloud computing
- Level: IntermediateKeywords:
- Data storage
- Level: IntermediateKeywords:
Volunteer
–
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:
- Strategy board games
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- Sports
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