AI Engineer
2018 - 2020jumio- 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, PythonIT Consultant
2018 - 2018Sigma - 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, PythonIT - Consultant
2017 - 2018Sigma - 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, PythonSoftware Engineer in Test
2011 - 2014Saab 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
Henrik Svensson
Machine Learning Developer in Montreal, QC, Canada
Member since June 18, 2018
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
Portfolio
- jumioPyTorch, TensorFlow, Python
- Sigma - EricssonBash Script, Jenkins, Python
- Sigma - AscomBash Script, Jenkins, Git, Android Debug Bridge, Pytest, Python
Experience
- Git 6 years
- Pandas 4 years
- Python 4 years
- TensorFlow 3 years
- Machine Learning 2 years
- PyTorch 1 year
Availability
Part-time
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.
Employment
Experience
- Capstone Data Scientist Nanodegreehttps://medium.com/@henriksvensson_1896/starbucks-analysis-of-simulated-data-c033e210a4d1
As part of my nanodegree as a data scientist at Udacity, I used simulated historical Starbucks data, analyzed what makes users buy an item, and what offers to send them. This was for my last and final capstone project.
- Semantic-Segmentation for Self-Driving Carhttps://github.com/henrisve/CarND-Semantic-Segmentation
Using a fully convolutional network to classify each pixel in a video stream, to detect whether or not it is a drivable road. This was done using TensorFlow, part of Udacity's nanodegree in self-driving cars.
Skills
Languages
Python, Bash Script, Python 3Libraries/APIs
TensorFlow, PyTorch, Keras, PandasTools
VS Code, Pytest, Git, Android Debug Bridge, Jenkins, MATLAB, LabVIEWParadigms
Agent-based Modeling, CRISP-DM, ETLPlatforms
Linux, Amazon Web Services (AWS)Other
Machine Learning, System Testing, Path Planning, Robotics, Information Theory, Electronics, Network Analysis, AWS, ROS, Sensor Fusion, Localization, Recommendation Systems, funkSVD, ELT
Education
- Master's degree in Complex Adaptive Systems2014 - 2016Chalmers University of Technology - Gothenburg, Swedem
Certifications
- Data Scientist (Nanodegree)MAY 2020 - PRESENTUdacity
- Self-Driving Cars (Nanodegree)JULY 2019 - PRESENTUdacity
