Fields of interest: Computer Vision, Mechatronics and Robotics, Multibody Dynamics Simulation
| Category | Skills |
|---|---|
| Languages | Python, C++, JavaScript |
| Computer Vision | OpenCV, Mediapipe, Diffusers |
| ML/DL | PyTorch, Tensorflow, Lightning, Keras, Scikit-learn |
| Robotics | ROS2, Webots simulator, Exudyn dynamics simulator |
| CAD | Solid Edge, Inventor, Alibre |
| Dev | Linux, Docker, Pytest, MyPy, Git |
| Cloud | AWS, Azure |
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Automation of TV remote controls to assist older adults with button visibility and navigation.
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A document scanner application that converts images of rectangular documents into a top-down view with classical computer vision, tested in a robotics simulator.
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30K cards identification system
Card identification system that matches a query card to a 30K card database using fine-tuned deep feature embeddings and similarity search.
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Semantic segmentation on images taken from drones to differentiate between 12 classes.
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Object detection to localize license plates of cars.
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Image classification of 13 different Kenyan food types.