I'm a Dutch robotics engineer with a passion for deep learning and computer vision. I recently reproduced the paper EfficientNetV2: Smaller Models and Faster Training and have shared my code in a GitHub repository. I'm constantly learning and exploring new technologies, and I'm excited about the potential of machine learning to revolutionize the field of robotics.
- Reproducing other cutting-edge deep learning papers and experimenting with new architectures and techniques
- Building projects that integrate computer vision and robotics, such as object recognition and autonomous navigation
- Developing my skills in software engineering and agile methodologies to build reliable and scalable systems
- Reinforcement learning and how it can be applied to robotics
- Advanced computer vision techniques such as multi-object tracking and 3D reconstruction
- Cloud computing and distributed systems for scalable machine learning
- Check out my portfolio website to see some of my past projects
- Connect with me on LinkedIn
- Email me on Email
I'm seeking a challenging role as a computer vision engineer, ideally with a forward-thinking company in the robotics or autonomous vehicle space. I'm particularly interested in opportunities with Tesla, where I can contribute to cutting-edge research and development.
- Programming languages: Python, C++, MATLAB
- Deep learning frameworks: TensorFlow, PyTorch, Keras
- Robotics and control systems: ROS, Gazebo, Simulink
- Cloud computing: GCP
Thanks for stopping by my GitHub profile! I'm always happy to connect with other robotics and AI enthusiasts, so don't hesitate to reach out.
- Make requirements less dumb, i.e, reduce to the "one" purpose
- Delete everything in the system that is not absolutely needed
- Re-add what is still needed. If you don't have anything to re-add you did not delete enough.
- Speed it up, make more efficient
- Automate
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent