• [Project Lead] Algorithmic Bias in Chatbots: Reviews algorithmic bias in conversational AI, by examining the causes and empirical evidence of its manifestation in different groups, and propose a human-centered approach framework for developing responsible and trustworthy conversational AI systems while exploring existing tools for detecting and mitigating bias.• [Project Lead] Collision Course: Collision Course is a virtual reality experience that aims to raise awareness about the impact of sports-related concussions, simulating the experience of sustaining a concussion during the gameplay and displaying its symptoms.• [Project Co-Lead] CodeBears: CodeBears is a program aimed at closing the equity gap and preparing disadvantaged K-12 youth in Baltimore for the future of work by providing them with a 2-week summer coding boot camp at no cost, where they can learn computational thinking and computer science concepts in an engaging, culturally relevant, and hands-on learning experience.• [Project Team Member] Baltimore Building Data: The Baltimore Building Project is a research project that uses Nodejs to develop software that extracts, transforms, and loads (ETL) data-building sources to Solid Pod for data analysis and research.• [Project Team Member] Prodigy Assistant: Prodigy Assistant is an AI-powered app that helps students keep track of their academic tasks and manage their schedules efficiently, offering personalized recommendations, assignment reminders, GPA calculator, and integration with popular learning platforms to streamline the organization and management of academic tasks, allowing students to prioritize their work and achieve their academic goals.

Transported stock for storage to stock areas, Kept store shelves fully stocked according to tag allocations, Assisted in building store displays, Kept perishable merchandise rotated and pull out-of-code product as needed, Controlled level of damaged goods, Observed policies and procedures established for each department, Greeted customers who came into the store and was observant, Abided by all company policies as stated in the Employee Handbook, Assisted with front-end service when needed.

• Collaborated with a team of researchers to design and develop an innovative system integrating physical robots and physiological sensors into educational software.• Assisted in the collection and analysis of physiological data, including EEG (electroencephalography) and EMG (electromyography), from human participants.• Implemented machine learning techniques to process raw sensor data and classify events such as gestures and emotional states, contributing to accurate user interaction.• Worked closely with the team to map the output from physiological sensors to control the behavior and responses of a physical robot, enhancing the interactive learning experience.• Contributed to the technical architecture of the system, ensuring its functionality, usability, and scalability for educational applications.• Conducted experiments and analyzed data to evaluate the effectiveness and impact of the integrated software system, generating insights for further improvements.• Documented research findings, methodologies, and experimental results, contributing to the overall knowledge base of the project.

Contributed to Natural Language Understanding focusing on machine reading comprehension through grammar & context to determine the intended meaning of a sentence, and Natural language generation focusing on text generation or the construction of text in English (or other languages) given a dataset.

Assisted with the setup and maintenance of on-site computer hardware, software, and internet connectivity, Delivered quality, educational instruction to students in a class, Provided troubleshooting and technical support to staff and students, Communicated tech issues quickly and effectively to company headquarters and offered solutions, Assisted with debugging code, project backup, and computer cleanup, Preformed weekly inventory management and tracking, Was a role model for students and staff, arrived every day with an inclusive, professional and positive attitude.