Mag. Leszek Wiland

Angestellt, Senior Software Developer, nextSociety

Vienna, Österreich

Fähigkeiten und Kenntnisse

Java
C++
JavaScript
Software Engineering
Spring
SQL
HTML
Hibernate
Python
PostgreSQL
Machine Learning
Natural Language Processing

Werdegang

Berufserfahrung von Leszek Wiland

  • Bis heute 10 Jahre und 6 Monate, seit 2014

    Senior Software Developer

    nextSociety

    - Backend Senior Software Developer and Generalist - Key technologies: Java, Spring, Python, Postgresql, JavaScript, SQL, Git, Multi-threading, Distributed Systems - Machine Learning (ML), Natural Language Processing (NLP)

  • 2013 - 2014

    Senior Software Developer

    Freelancer / Consultant

  • 3 Jahre und 2 Monate, Juli 2010 - Aug. 2013

    Software Developer

    Bloomberg L.P.

    R&D Realtime Systems. Alert group. - Key technologies: C++, C, STL, JavaScript, Unix, Python, SQL, Agile Development, Multi-threading, Distributed systems, Git, Svn and a wide range of in-house technologies.

  • 8 Monate, Okt. 2008 - Mai 2009

    Software Developer

    University College London

    - As part of Master's dissertation work, I successfully designed and implemented performance critical, low-latency, real-time Linux-based system on a resource limited embedded hardware - Provided low-latency characteristic of the system by programming inside Linux kernel space - Obtained a distinction grade for the system implementation and the Dissertation

  • 4 Monate, Juni 2008 - Sep. 2008

    Software Developer

    University of Wisconsin-Madison

    - Successfully designed and built a prototype distributed, real-time bus tracking system for the city of Madison in Java - Implemented a mobile client for Nokia N97 for retrieving and displaying bus position via the Google Maps interface - Prepared documentation and gave a lecture on mobile computing for graduate students

  • 3 Monate, Juni 2007 - Aug. 2007

    Software Developer

    Bank of America

    - Researched project investigating implementation of financial quantitative algorithms on highly parallel embedded architectures which involved: - Implemented financial quantitative algorithms on highly parallel CUDA architecture - Investigated performance of financial quantitative algorithms on CUDA parallel architecture in comparison to Intel Quad-Core Xeon solution

Ausbildung von Leszek Wiland

  • 2007 - 2008

    Computer Science

    University of Wisconsin-Madison

    software development, distributed systems, multithreaded systems and machine learning

  • 2005 - 2009

    Computer Science

    University College London

    software development, distributed systems, multithreaded systems and machine learning

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Grundlagen

  • Polnisch

    Muttersprache

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