Coding Skills

Languages

• Python, C/C++, Fortran, Java, C#, MySQL, SQLite

Machine Learning, AI and Data-Analysis:

• Concepts: (Un)supervised- and reinforcement learning, generative models, data models, (non-linear-) optimization, statistical- and heuristic methods.

• Frameworks: Keras, Pytorch, OpenAI Gym, RLlib

• Libraries: SciPy.optimize, scikit-learn, NEAT

Numerics and High-Performance Computing

• Numerics Libraries: NumPy, SciPy, OpenCV, estools

Non-linear optimization and statistical and heuristic methods, such as (replica exchange) Monte Carlo or evolutionary strategies.

• Parallel Programming: MPI, OpenMP, multiprocessing, Threading, Slurm

6+ years of experience working with supercomputers (Vienna Scientific Cluster, JURECA) using Slurm.

• GPGPU: TensorFlow, PyTorch, Numba

• Data-Handling: Pandas, HDF5, YAML, JSON

Fast IO and processing of heterogeneous data.

• Data visualization: Matplotlib, Seaborn

• Interfacing: F2PY, Boost-Python, Lab-Streaming-Layer

Boost the performance of your Python application by compiling your highly-performant code as Python modules.

Code-Maintenance:

• Editors: PyCharm, Eclipse, Jupyter, Vim
• Version-Control & QA: git, CI, unittest
• Containerization: Docker, venv
• Documentation: Docstrings, Markdown, L^aT_eX
• Visualization: Gimp, Inkscape, Blender

Operating Systems

Linux and Windows