Expert and Interim Manager in Data Science/Machine Learning/Artificial Intelligence or Numerical Simulation

8/2017 – offen

Sciform provides highly specialized consulting services in Data & Computational Science, Big Data & High Performance Computing as well as Distributed Ledger Technologies. We particularly focus on responsible and explainable Artificial Intelligence.

Sciform’s services range from training/educational workshops, design of software development processes, design of algorithms and numerical methods up to the development of highly scalable distributed software solutions.
Sciform works with freelancers and tech partners to provide customers with full end-to-end software solutions.


Selection of consulting projects (please also have a look at my full project lists in the document section)

Consulting & Development in Energy Trading
MultiGPU+OpenMP parallelization of two novel automatic energy trading solutions at AXPO Baden.

Machine Learning, Computational Finance, Optimization, C++, CUDA, OpenMPI, C#

Consulting & Development in Autonomous Flight Control
GPU parallelized computer vision/optimization algorithms for an AI-based autonomous flight control software, Daedalean, Zürich

Machine Learning, Computer Vision, Optimization, C++, CUDA, NViDIA Jetson

Consulting & Development in Public Traffic Data Analytics
Data Analytics and AI prototype for public traffic data for a client of Panter AG, Zürich

Apache Spark, Java, Scikit-learn Python


Expertise

Explainable AI, Machine Learning and Deep Learning
Big Data Infrastucture
Numerical Methods (Finite Elements, Finite Volumes)
High Performance Computing (MPI, CUDA, OpenMP, ...)
AI Accelerators

Machine Learning & Big Data Frameworks:
TensorFlow, Keras, NVIDIA Rapids, Apache MXNet & Spark Ecosystem, Hadoop, H2O, Theano, PyTorch, Scikit-Learn, Pandas, Scipy and Numpy

Programming Languages:
C/C++ (Cuda, MPI, STL, Boost, Qt, OpenGL, ...), Python, Scala, Java, C#, Shell

DevOps:
Jenkins, Bamboo, Docker, Kybernetes

Software:
Mathematica, Matlab, most IDEs, Git, SVN, CMake, LateX

Amazon Web Services (AWS), Apache Spark, C++, CUDA, J2EE (Java EE), Java API for XML Processing (JAXP), Maschinelles Lernen, Python

11/2015 – 9/2017

Technical lead for the adaptive context-aware & continuous authentication and risk-detection component "nevisDetect" in the NEVIS security suite. NEVIS is deployed in many financial institutions and government offices in Switzerland and other countries to prevent sophisticated malware attacks. (Since 2020, the development of NEVIS is continued by the NEVIS Security AG.)
The context-aware authentication tool of nevisDetect evaluates client-side and network layer data based on rules.
The continuous authentication tool of nevisDetect performs the evaluation of client-side and network layer data based on several advanced anomaly detection algorithms

Apache Spark, TensorFlow, Java, Scala, Python, C++.

C++, J2EE (Java EE), Python, Scala

7/2014 – 10/2015

Technical lead for design and development of LAOSS - a software for large-area semiconductor device simulation used throughout the OLED and solar cell industry.
Numerical development of a Finite Element Method for the simulation of large-area OLEDs and solar cells.
Design of a parallel architecture for LAOSS and implementation of the numerics core.

Finite Elements, C++, MPI

C++