Dr. Evgenii Makarov

Angestellt, Senior Deep Learning Engineer, SKIDATA AG

Munich, Deutschland

Fähigkeiten und Kenntnisse

Machine learning
Data Science
Neural Networks
Python
MatLab
Engineering
Big Data
Data Analysis
Software Development
Computer Vision
Artificial intelligence
Statistics
Keras
OpenCV
Tensorflow
Scikit-learn
C/C++
Pytorch

Werdegang

Berufserfahrung von Evgenii Makarov

  • Bis heute 5 Jahre und 3 Monate, seit Apr. 2019

    Senior Deep Learning Engineer

    SKIDATA AG
  • 11 Monate, Mai 2018 - März 2019

    AI Architect

    Emirates NBD

    Bringing AI/DL/ML to banking

  • 1 Jahr und 1 Monat, Mai 2017 - Mai 2018

    Research Lead

    Emojii Apps

    https://itunes.apple.com/us/app/voir-tryon-camera/id1226417060?ls=1&mt=8 In small team of five engineers I led R&D part of solution. We developed machine learning engine for our mobile app supporting avatar animation, hair coloring, face segmentation, face tracking, face detection, facial landmark detection, PCA analysis of avatar mesh

  • 3 Jahre und 6 Monate, Dez. 2013 - Mai 2017

    Senior Staff Engineer

    Quantenna Communications

    I was senior member of core product systems team of 5-8 engineers and provided algorithm solutions to new generation of Wi-Fi chip defining goals and providing milestones. Efforts of our team led company to successful IPO in Oct 2016. As systems engineer I used to be a starting point for MU-MIMO solution which now is one of two main technologies offered by company to market

  • 1 Jahr und 9 Monate, März 2012 - Nov. 2013

    Senior Engineer

    Huawei Technologies

    Development of signal processing algorithms for LTE base stations (Rel. 9). Algorithm design, Monte-Carlo simulations, tuning, complexity evaluation, link-level testing (C/C++)

  • 3 Jahre, Apr. 2009 - März 2012

    Team Lead

    Devetel

    Multi-antenna signal processing algorithms for 802.11n modem prototype. Beamforming, time-domain signal processing (synchronization, preamble detection), MIMO, interference cancellation, channel estimation. Guidance of FPGA designers Wireless modem transceiver hardware design. Octal analog-digital converter board schematics design. Multi-beam switching microstrip antenna arrays for wireless ad-hoc networks.

Ausbildung von Evgenii Makarov

  • 3 Jahre und 7 Monate, Sep. 2005 - März 2009

    Radiophysics

    Voronezh State University

    Statistical signal processing in multi-channel systems

Sprachen

  • Russisch

    Muttersprache

  • Englisch

    Fließend

Interessen

Running
Badminton
Teaching

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