Henrik Svensson, Deep Learning Developer in Montreal, QC, Canada
Henrik Svensson

Deep Learning Developer in Montreal, QC, Canada

Member since August 25, 2020
Henrik is a machine learning engineer with 5+ years of work experience and several years of experience in developing software as a hobby. He likes to think outside the box and creatively solve complex problems. He has advanced programming proficiency in multiple languages, including Python and C++. Henrik's recent interests are in the machine learning field, where he currently holds two years of professional experience using both TensorFlow and PyTorch.
Henrik is now available for hire




Montreal, QC, Canada



Preferred Environment

PyTorch, TensorFlow, Python, VS Code, Linux

The most amazing...

...project I've worked on was a project in behavioral cloning during a nanodegree in self-driving cars from Udacity.


  • AI Engineer

    2018 - 2020
    • Detected if a document had a fraudulent physical manipulation while keeping a false positive level below 0.001% (one wrong in 10,000 samples).
    • Developed a simple model to detect if a decent quality document is present or not. This was achieved with >98% true positive with a false positive below 0.001%.
    • Extracted and analyzed BI-related information to the other AI-engineers.
    Technologies: PyTorch, TensorFlow, Python
  • IT Consultant

    2018 - 2018
    Sigma - Ericsson
    • Developed tools for Ericsson's continuous integration system and added new functionalities to ensure better code from developers.
    • Tracked and fixed various bugs using Jira as a reporting tool.
    • Maintained tools for Ericsson's continuous integration system.
    Technologies: Bash Script, Jenkins, Python
  • IT - Consultant

    2017 - 2018
    Sigma - Ascom
    • Implemented continuous integration workflow for Ascom's message server by simulation android devices and message loss to ensure 99.999% reliability.
    • Automated short tests on each commit, mainly to test that the code still runs and works properly.
    • Automated a long load test to verify the complete system including Android devices and message serving.
    Technologies: Bash Script, Jenkins, Git, Android Debug Bridge, Pytest, Python
  • Software Engineer in Test

    2011 - 2014
    Saab AB
    • Extended functionality in a control system for an airborne ground/foliage penetration radar system. Mainly made it possible for developers to be able to use new functionality while doing field tests.
    • Developed test system for JAS-Gripen Radar system using various hardware such as network analyzer, to gather data to later perform test and verification of hardware of the next generation of flight radar.
    • Extended and improved functionality for test rig to perform verification tests on big radar systems. Including finding bugs and improvements that saved the users over a week of work.
    • Built test applications to help developers to test and verify functionality and performance of Advanced LIDAR systems, this included a user interface where the user could control the whole system.
    Technologies: Network Analysis, System Testing, Electronics, LabVIEW, MATLAB



  • Languages

    Python, Bash Script, Python 3
  • Libraries/APIs

    TensorFlow, PyTorch, Keras, Pandas
  • Tools

    VS Code, Pytest, Git, Android Debug Bridge, Jenkins, MATLAB, LabVIEW
  • Paradigms

    Agent-based Modeling, CRISP-DM, ETL
  • Platforms

    Linux, Amazon Web Services (AWS)
  • Other

    Machine Learning, System Testing, Path Planning, Deep Learning, Robotics, Information Theory, Electronics, Network Analysis, AWS, Robot Operating System (ROS), Sensor Fusion, Localization, Recommendation Systems, funkSVD, ELT


  • Master's Degree in Complex Adaptive Systems
    2014 - 2016
    Chalmers University of Technology - Gothenburg, Swedem


  • Data Scientist (Nanodegree)
    MAY 2020 - PRESENT
  • Self-Driving Cars (Nanodegree)
    JULY 2019 - PRESENT

To view more profiles

Join Toptal
Share it with others