Expert in Machine Learning/Artificial Intelligence - Big Data - Numerical Simulation - HPC

freiberufler Expert in Machine Learning/Artificial Intelligence - Big Data - Numerical Simulation - HPC auf freelance.de
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8037 Zürich
30.06.2020

Kurzvorstellung

Consulting / Project Lead / Solution Architect / Software Engineering in

Data Science
Machine Learning
Artificial Intelligence
Big Data
Computational Science
High Performance Computing

Ich biete

IT, Entwicklung
  • C++
  • J2EE (Java EE)
  • CUDA
  • Python
  • Machinelles Lernen (allg.)
  • Apache Spark
  • Java API for XML Processing (JAXP)
  • Scala
  • Big Data
  • Software Architektur / Modellierung
Forschung, Wissenschaft, Bildung
  • Mathematik

Fokus
  • Consulting
  • Maschinelles Lernen

Projekt‐ & Berufserfahrung

CEO & Consultant (Festanstellung)
Sciform GmbH, Zürich
8/2017 – offen (3 Jahre)
IT & Entwicklung
Tätigkeitszeitraum

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

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

Eingesetzte Qualifikationen

CUDA, Machinelles Lernen (allg.), Apache Spark, C++, J2EE (Java EE), Java API for XML Processing (JAXP), Python


Lead Data Scientist (Festanstellung)
AdNovum AG, Zürich
11/2015 – 9/2017 (1 Jahr, 11 Monate)
IT & Entwicklung
Tätigkeitszeitraum

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++.

Eingesetzte Qualifikationen

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


Computational Scientist and Software Engineer (Festanstellung)
Fluxim AG, Winterthur
7/2014 – 10/2015 (1 Jahr, 4 Monate)
IT & Entwicklung
Tätigkeitszeitraum

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

Eingesetzte Qualifikationen

C++


Research Scientist (Festanstellung)
TU München, München
12/2007 – 5/2011 (3 Jahre, 6 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

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

Eingesetzte Qualifikationen

Mathematik, Statistik (allg.), CUDA, C++


Resarch Computational Scientist (Festanstellung)
ETH Zürich, Zürich
9/2006 – 12/2013 (7 Jahre, 4 Monate)
Hochschulen und Forschungseinrichtungen
Tätigkeitszeitraum

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

Eingesetzte Qualifikationen

Mathematik, Statistik (allg.), C++, J2EE (Java EE)


Research Assistant (Festanstellung)
German Aerospace Center, Braunschweig
7/2006 – 9/2006 (3 Monate)
Luft- und Raumfahrtindustrie
Tätigkeitszeitraum

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

Eingesetzte Qualifikationen

Statistik (allg.)


Managing Director & Cofounder (Festanstellung)
4dimensional GmbH, Zürich
7/2004 – 12/2011 (7 Jahre, 6 Monate)
IT & Entwicklung
Tätigkeitszeitraum

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

Eingesetzte Qualifikationen

Mathematik, Statistik (allg.), C++, J2SE (Java SE)


Ausbildung

Computational Science
(MSc. hons.)
Jahr: 2007
Ort: TU München

Civil Engineering
(MSc ETH)
Jahr: 2005
Ort: ETH Zürich

Qualifikationen

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,
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

Sprache
  • Deutsch (Muttersprache)
  • Englisch (Fließend)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Home-Office
bevorzugt
Profilaufrufe
383
Alter
41
Berufserfahrung
15 Jahre und 10 Monate (seit 09/2004)
Projektleitung
7 Jahre

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