Babatunde S.

Deep Learning Expert | Computer Vision | Researcher

I hold a Master's degree in Computer Science, specializing in computer vision through deep learning. My professional background includes active involvement in various research and development initiatives focused on object recognition, image segmentation and face recognition, both within academic and industrial environments. I recently contributed to a project aimed at constructing a model capable of identifying SKU numbers on boxes from videos and images. This model was successfully deployed on a website for real-time detection. Another interesting project is tomato disease detection and severity classification in order to deploy and run on mobile phone devices. I possess more than two years of practical experience working with deep learning frameworks such as Tensorflow, PyTorch, Keras, and TensorBoard. Additionally, I have a solid command of OpenCV and Numpy. I have more than five years experience in research paper writing. I have written papers for research students at both undergraduate and post graduate level. I am keenly interested in engaging with research or development tasks in the field of deep learning and computer vision. Educational and Research Background: I am currently a Master Degree M.Sc Student. I hold a bachelor's degree in Computer Science. My master thesis examined disorder severity classification in tomato based on weight cluster loss and Convolutional Neural Network (CNN). Other Skills: Advanced in Microsoft Office Programs (i.e. Word, Excel, PowerPoint) Proficient with Python Programming language Proficient with online survey distribution programs such as Qualtrics, Survey Monkey, Google Survey, and REDCap Proficient with digital movie maker programs such as Windows Movie Maker and Filmora


  • Research Paper Writing
  • TensorFlow
  • Data Annotation
  • Data Labeling