Wolfram Helwig available

Wolfram Helwig

Data Science / AI / Machine Learning / Physics / Mathematics / Game Theory

available
Profileimage by Wolfram Helwig Data Science / AI / Machine Learning / Physics / Mathematics / Game Theory from Muenchen
  • 81679 München Freelancer in
  • Graduation: PhD in Physics (University of Toronto)
  • Hourly-/Daily rates:
  • Languages: German (Native or Bilingual) | English (Full Professional)
  • Last update: 23.02.2021
KEYWORDS
PROFILE PICTURE
Profileimage by Wolfram Helwig Data Science / AI / Machine Learning / Physics / Mathematics / Game Theory from Muenchen
SKILLS
Programming Languages:
  • Java
  • Python (TensorFlow, PyTorch, Keras, scikit-learn, numpy)
  • C++
Machine Learning:
  • Deep Learning
    • Convolutional Neural Networks (CNN)
    • Recurrent Neural Networks (RNN)
    • Transformers
  • (Deep) Reinforcement Learning
    • DQN, REINFORCE, A2C, PPO
    • Monte Carlo Tree Search (MCTS)
    • Counterfactual Regret Minimization (CFR)
    • Neural Fictious Self Play (NFSP)
  • Random Forests
  • Clustering
Big Data:
  • Microsoft Azure Certifications:
    • Microsoft Certified: Azure Fundamentals
    • Microsoft Certified: Azure Data Scientist Associate
    • Microsoft Certified: Azure Data Engineer Associate
    • Microsoft Certified: Azure AI Engineer Associate
Other Skills:
  • Game Theory
  • Theoretical Physics
  • Quantum Information Theory
  • Probability Theory
  • Statistics
  • Mathematics

Education:
PhD in Physics, University of Toronto
Physik-Diplom (1.0), Friedrich-Alexander-Universität Erlangen-Nürnberg
PROJECT HISTORY
  • 08/2019 - Present

  • Independent Researcher
    • Developing and applying deep learning algorithms, with the current focus on:
      • Transformers in Computer Vision
      • Deep reinforcement learning methods for imperfect-information scenarios
    • Working with big data cloud technologies, and acquiring the following certifications:
      • Microsoft Certified: Azure Data Scientist Associate
      • Microsoft Certified: Azure AI Engineer Associate
      • Microsoft Certified: Azure Data Engineer Associate
      • Microsoft Certified: Azure Fundamentals
    • Study and implementation of recent papers in deep learning and reinforcement learning

  • 01/2019 - 05/2019

  • Algorithm Developer
    • Developing algorithms for the simulation of milling processes based on 3D-CAD data
    • Geometric complexity analysis of the milling process based on volume and surface properties
    • Implementation of the developed methods (Java)
    • Test-driven development (JUnit)

  • 05/2018 - 12/2018

  • IT-Architecture Consultant
    • Consulting in the exploration phase of a new Big Data System
    • Collection of business and technical requirements for the new system
    • Derived and presented suitable IT-architectures based on the collected business and technical feedback

  • 01/2018 - 04/2018

  • Algorithm Developer
    • Mathematical optimization of algorithms for distance field calculations in a 3d analysis software
    • Implementation of the developed methods (Java) from prototyping to release.
    • Test-driven development (JUnit)

  • 08/2017 - 12/2017

  • IT-Consultant
    • Quality assurance of in-car control unit tests
    • Developed tools (Java, Python) for automatic test quality reporting

  • 04/2017 - 07/2017

  • IT-Consultant
    • Design and specification of a customer-specific software application to be in accordance with WLTP standards
    • Development of the required data structure
    • working in an agile environment

  • 04/2014 - 12/2016

  • Data / Strategy Analyst
    • Created abstractions for computationally unsolvable strategic scenarios
    • Conducted game-theoretical investigations, i.e., derived optimal strategies (Nash equilibria), for the abstractions
    • Generalized the learnt insights from the abstraction to the full problem
    • Employed machine learning tools (decision trees, clustering) to identify good strategies in gathered data (C++, Python)

  • 02/2009 - 12/2013

  • Research / Teaching Assistant
    • Analyzed transformation by local operations of multi-party distributed entangled quantum states in high dimensional Hilbert spaces
    • Theoretical study of the utilization of maximally entangled quantum states in cryptographic protocols and error correction algorithms
    • Proved conditions for the existence of maximally entangled state in a high dimensional mutli-party settings
    • Computational investigation (Java) of subspaces of Hilbert spaces to find absolutely maximally entangled states
    • Lead tutorials for undergraduate students

  • 10/2006 - 02/2009

  • Research / Teaching Assistant
    • Numerical and theoretical evaluation of multi-mode effects on the security of quantum cryptographic protocols
    • Wrote simulations in C++ to evaluate the security of quantum cryptographic protocols
    • Lead tutorials for courses in theoretical physics


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