Achim Casties

Experience

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  Ac3

  Feb 2004 - Aug 2008

  High Performance Computing Specialist

  Setting up, debugging parallel applications on distributed systems (Linux Clusters), shared memory machines (SGI) and NEC vector machinesLanguages: Python, Perl, Linux Bash, Fortran, C

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  Angusta

  Aug 2007 - Dec 2007

  Software Developer

  Conception and development of an optimization for a bank depot-ATM-shop cash flow with considered legal restrictions of cash amounts in time and siteProof of validityLanguage: C, bash scripting

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  CCRC University of New South Wales

  Jul 2009 - Mar 2010

  Software Developer

  Developing of parts of a big Algorithm in the ClimateChange AreaDebuggung of Program Code (FORTRAN)

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  CUTEC GmbH

  Jun 2010 - Nov 2011

  Scientific Assistant

  Neural Network application on basic functions of cognitive processesDevelopment of a graphical switchboard for neuron interactions in a neural networkBig Data application on radar ground patternsDevelopment of a pattern search algorithmLanguages: C#, PostgreSQL--------------------------------------------------------------------------------------Entwicklung eines grafischen SwitchBoards für Verschaltungen in Neuronalen NetzenErstellen eines Struktur-Charakterisierungs/Such - Algorithmus, getestet an Bodenradardiagrammen Show less

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  SFi Software GmbH

  Apr 2012 - Sept 2013

  Senior Software Tester

  Software testing in the medical devices area, programming and implementing embedded software in those devices (embedded C), micro-controller programming via CAN busLanguage: C, C++IDE: Eclipse

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  Siemens

  May 2014 - Dec 2016

  Software Engineer

  Real time server / client programming in C++ for simulations of roll-out sections of the Deutsche BahnConsulting and presentation of resultsParallel program development on a 16 processor machine using OpenMp librariesLanguages: C, C++IDE: EclipseDevelopment tool: Enterprise Architect------------------------------------------------------------------------------------------------------Konzeptionierung und Programmierung einer Ablaufsimulation im bahntechnischen Bereich. Anwendung von Parallelprogrammierung zum Erfüllen von Echtzeitanforderungen Show less

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  ESE Engineering und Software-Entwicklung GmbH

  Jan 2017 - Apr 2019

  Big Data, Data Mining, Data Analysis is the field on which our mathematical (partly self-programmed) procedures are applied. The group I am involved in is programming in R and Python and builts a data flow chain with Splunk (I got the Sales Engineer I, Sales Rep and Power User status). Topics are predictive analysis and Fourier TransformationLanguages / Tools: Python, C++,Lua, XML, HTML / Matlab, R, Git, MS Visual Studio,Enterprise Architect Data models, forecasts, ETL, time series analysing, machine learning, consulting

  • Data Analyst

    Dec 2013 - Apr 2019

  • Data Analyst

    Jan 2017 - Jan 2018
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  The Westmead Institute for Medical Research

  Apr 2019 - now

  Biometric Systems Developer

  This challenging work spans from the first drawing of a potential data flow scheme to a complete biometric application in mental health.Work flow: Fully automated data transport from a cloud server to the machines of the university of SydneyProcessing and data analysis with self-developed code in R and Python on Linux bashSetup of a scheduling system to guarantee a day-by-day updated picture of each enrolled patientSetup of a web browser for showing the updated data as Splunk dashboards for each case manager who is in charge - Splunk was set up with ESE GmbH, GermanyIn the long-term analysis the huge amount of time series of patient data in resolutions to 30ms are piped through LSTM networks (long-short-term-memory neural networks). The first results show that investigations towards large memory data sets must be done. Legendre Neural Networks were set up. Show less

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  National Center for Tumor Diseases (NCT) Heidelberg

  Feb 2024 - now

  Data Analyst

  01 February 2024 – present • The relatively new field of evidence based health research requires data base stored information of cancer types from enrolled patients • Supported by random control trials, statistical methods, neural networks and data analysis we try to give a comprehend description of the present health state of the involved patients • Tools and languages: Metabase, R, SQL