Roman Shkarin

Angestellt, Machine Learning Engineer, Remerge GmbH
Berlin, Germany

Fähigkeiten und Kenntnisse

Python
Machine learning
Research
Image Processing
CUDA
C/C++
Linux
Big Data
Computed Tomography (CT)
Deep Learning
Software Development
Algorithm Development
Computer vision
Datenanalyse
Docker
Kubernetes
Git
Data analysis
Image segmentation
Object detection
Data visualization
Parallel computing
Artificial intelligence
Test-Driven Development
Microservices
Flask
MongoDB
TensorFlow
PyTorch
Data augmentation
Continuous integration
OpenCV
RESTful API

Werdegang

Berufserfahrung von Roman Shkarin

  • Current 7 years and 2 months, since Apr 2019

    Machine Learning Engineer

    Remerge GmbH
  • Current 11 years and 9 months, since Sep 2014

    Software engineer / Ph.D. Candidate

    KIT - Karlsruher Institut für Technologie

    Software engineer specialized in 2D/3D image processing, automated data analysis, and machine learning.

  • 1 year and 8 months, Jan 2013 - Aug 2014

    Student Research Assistant

    KIT - Karlsruher Institut für Technologie

    Design and implementation of a CUDA/OpenCL version of reconstruction algorithm based on the Fourier transform for ultra-fast tomography.

  • 2 months, Feb 2014 - Mar 2014

    Student Research Assistant

    ESRF

    Integration the Direct Fourier Inverse tomographic reconstruction method into PyHST2 software package. Analysis of performance and bottlenecks in an implementation of Dictionary Learning method for GPUs.

  • 2 years, Oct 2010 - Sep 2012

    iOS Developer

    Zennex

    Developing various applications, mainly for iOS platform.

Ausbildung von Roman Shkarin

  • 6 years and 3 months, Sep 2014 - Nov 2020

    Computer Science

    Karlsruhe Institute of Technology (KIT)

    Automated Data Analysis, Image Processing, Programming, Machine Learning, GPU Computing, Data Segmentation, Statistical Modelling

  • 2012 - 2014

    Computer Science, Automatics and Computer Systems

    Tomsk Polytechnic University

  • 2008 - 2012

    Computer Science, Automatics and Computer Systems

    Tomsk Polytechnic University

Sprachen

  • English

    C1 (Fließend)

  • Russian

    C2 (Verhandlungssicher / Muttersprachlich)

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