Expert and Interim Manager in Data Science/ML/AI or Numerical Simulation
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- 8044 Zürich
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- 11.08.2024
Kurzvorstellung
Data Science
Machine Learning
Artificial Intelligence
Machine Learning Engineering
Big Data
Quantum Computing
Computational Science
High Performance Computing
Qualifikationen
Projekt‐ & Berufserfahrung
8/2017 – offen
Tätigkeitsbeschreibung
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 API for XML Processing (JAXP), Maschinelles Lernen, Python
11/2015 – 9/2017
Tätigkeitsbeschreibung
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, Python, Scala
7/2014 – 10/2015
Tätigkeitsbeschreibung
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++
12/2007 – 5/2011
Tätigkeitsbeschreibung
- Numerical development of novel FSI-related Finite Element Methods for nano/micro-scale material simulations.
- Implementation in a massively parallel large-scale multiphysics HPC-code.
C++, MPI, CUDA
Mathematik, Statistiken, CUDA, C++
9/2006 – 12/2013
Tätigkeitsbeschreibung
Numerical extension of Finite Volume and Finite Element Methods for groundwater flow, contaminant transport and multiphase flow for sustainable water resources management.
Design, development and extension of the MPI&GPU-parallelized numerics core for the water resources management software "Fresh WaterSupply" funded by EU and world-bank projects in collaboration with "4dimensional GmbH" (see below).
"FreshWaterSupply" is used by many decision makers globally to improve availability and sustainability of drinking water.
Statistical Methods, Stochastic Methods, Finite Volumes, Java, C++, C, MPI
Mathematik, Statistiken, C++, J2EE
7/2006 – 9/2006
Tätigkeitsbeschreibung
• Numerical development of a novel semi-implicit time-integration scheme for CFD aerodynamics simulations.
• Implementation in the massively parallel DLR tau-code, which is widely used in the European aerospace industry e.g. by Airbus.
Statistik, Finite Volumen, Finite Elemente, C, C++, MPI
Statistiken
7/2004 – 12/2011
Tätigkeitsbeschreibung
Productization of "FreshWaterSupply" - a decision support software for ecologically and economically sustainable water resources management, which was jointly developed with IfU, ETH Zurich.
Statistical Methods, Stochastic Methods, Finite Volumes, Java, C++, C, MPI
Mathematik, Statistiken, C++, Java SE
Ausbildung
TU München
ETH Zürich
Weitere Kenntnisse
Explainable AI, Machine Learning and Deep Learning
Generative AI
Machine Learning Engineering and ML Infrastucture
Quantum Computing & Quantum Machine Learning
Numerical Methods (Finite Elements, Finite Volumes)
High Performance Computing (MPI, CUDA, OpenMP, ...)
Machine Learning & Big Data Frameworks:
GenAI, OpenAI GPT-family, Gemini, Langchain
TensorFlow, Keras, NVIDIA Rapids, Apache MXNet & Spark Ecosystem, Hadoop, H2O, Theano, PyTorch, Scikit-Learn, Pandas, Scipy and Numpy,
AWS EC2, SageMaker & Glue, Google AI Cloud Platform
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
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
- Schweiz
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