PHD Student Imagem processing with Deep Learning
PHD-Student
Keywords
Skills
More than 15 years of professional experience as developer and tech team lead. Technology stack with moderate to expert level of experience and understanding:
- Linux embedded systems and drivers
- Linux/Unix administration
- C/C++
- Python
- OpenCV/Machine Learning
- Pytorch
- Machine Vision / Deep Learning
- ROS, Mobile platform Robotics
Project history
02/2019
-
Present
Deep learning using Pytorch for medical images (X-Ray) disease detection.
Modeling of many networks reproducing works from literature for breast cancer detection and segmentation.
Modeling of many networks reproducing works from literature for breast cancer detection and segmentation.
06/2018
-
Present
Senior Engineer for computer vision and robotics
Contractor
(Energy, water and environment, 10-50 employees)
Development of Python and C++ software for computer vision for agriculture mobile robot prototype for coffee and eucaliptus trees. Main objetive was to find a path for safe navigation of autonomous mobile robot.
OpenCV for computer vision (C++ and Python)
Pytorch for deep Learning segmentation (Unet)
ROS OS for mobile linux platforms.
Basic hardware development (project and schematics). Main processor: ESP32, wheel encoders, IMU, GPS, monocamera and stereo camera (Zedcam).
After many months of development now the prototype is on third generation.
OpenCV for computer vision (C++ and Python)
Pytorch for deep Learning segmentation (Unet)
ROS OS for mobile linux platforms.
Basic hardware development (project and schematics). Main processor: ESP32, wheel encoders, IMU, GPS, monocamera and stereo camera (Zedcam).
After many months of development now the prototype is on third generation.
Local Availability
Only available in these countries:
Brazil
Remote from São Paulo, Brazil
Eventual biz trips only.
Eventual biz trips only.
Other
Please contact only for remote work proposals.
