Ricardo Ornelas

Bachelor's

Computer Science

Panda Restaurant Group

Cook

- Supervised and managed a diverse team, ensuring smooth kitchen operations and a productive/positive work - Prepped and chopped fresh vegetables, adhering to strict quality, measurements and cleanliness standards - Cooked a variety of dishes, following standardized recipes to maintain consistency in flavor and presentation - Prepared signature sauces from scratch, contributing to the restaurant's authentic taste - Ensured proper stock management, maintaining inventory levels and organizing storage areas efficiently - Upheld food safety and sanitation protocols, ensuring compliance with health regulations - Trained new kitchen staff on food prep, cooking techniques, and safety procedures ensuring maximum efficiency - Technical Activities - AI4ALL - Remote - AI Portfolio Project - Collaborated with a team to develop a custom artificial intelligence model, gaining hands-on experience in AI - Worked under the guidance of an industry mentor to apply best practices in machine learning and AI technologies - Participated in the entire AI model development lifecycle, from data collection and preprocessing to model training and evaluation - Engaged in troubleshooting, debugging, and optimizing the model to improve performance and accuracy - Presented the final AI project to peers, mentors, and industry professionals, demonstrating the model's capabilities - Enhanced teamwork, problem-solving, and communication skills through collaborative efforts within a technical - Personal Projects - Emotion AI - Developed a robust machine learning model utilizing TensorFlow and OpenCV to accurately detect human - Employed advanced data manipulation techniques to process a dataset comprising over 28,000 images, ensuring - Utilized data visualization techniques, including confusion matrices, to identify model inconsistencies and implement targeted strategies for improvement - Enabled real-time emotion detection capabilities, enhancing the practical application of the model - Conducted thorough evaluations of model performance, adjusting parameters based on insights gained from data