Fields of interest: Computer Vision, Mechatronics and Robotics, Multibody Dynamics Simulation

• Languages:   Python, JavaScript, C++
• ML/DL:      OpenCV, PyTorch, Tensorflow, Lightning, Keras, Scikit-learn
• DevOps:     Linux, Git, Docker
• Robotics:    Webots simulator, Exudyn dynamics simulator
• CAD:        Solid Edge, Inventor, Alibre

• TV remote Automation

  Automation of TV remote controls to assist older adults with button visibility and navigation.

  

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• Document scanner simulation

  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

  Semantic segmentation on images taken from drones to differentiate between 12 classes.

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• Object detection

  Object detection to localize license plates of cars.

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• Classification

  Image classification of 13 different Kenyan food types.