My Role and Responsibilities

My primary focus was on developing and improving machine learning algorithms and neural networks for dish recognition within Spotless. I worked under the guidance of senior engineers and was responsible for the following:

• Training and testing image recognition models: I collected and preprocessed a large dataset of images featuring various types of dishes (plates, bowls, cutlery etc.) in different orientations and lighting conditions. I then trained various machine learning models to accurately identify these dishes in the images captured by Spotless’s camera system.
• Algorithm improvement: I evaluated the performance of the trained models and identified areas for improvement. I implemented techniques like transfer learning and data augmentation to enhance the accuracy and robustness of the models.
• Collaboration: I collaborated with the robotics team to ensure proper integration of the machine learning models with the physical components of Spotless. This involved defining data formats, setting up communication protocols, and testing the overall system functionality.

During my internship at Nala Robotics, I worked as a Trainee Engineer Intern on the Spotless project. Spotless is a fully automated robotic dishwasher designed to wash, rinse, dry, stack, and store dishes in commercial kitchens. It uses high-performance camera systems and machine learning to identify and handle various types of dishes.