• Developing and deploying machine learning models for data-driven decision-making and predictive analysis• Integrating reinforcement learning for adaptive and autonomous system optimization• Designing, implementing, and optimizing databases for data storage and retrieval• Development of APIs, creating interfaces that enable communication between the frontend and backend

• Performed testing for NASA's new GRX metal alloys designed for extreme aerospace conditions• Designed and improved the Delta-T creep testing method, making tests 100-1000 times faster than conventional approaches• Researched innovative theoretical models using advanced mathematical techniques and machine learning algorithms to enhance material performance predictions• Created new test matrices based on the theoretical models, enabling targeted experiments that directly informed and refined model accuracy through iterative feedback• Engaged in presentations to share research progress at Conferences, developing communication and presentation skills

• Awarded a $3,500 scholarship for academic excellence and research contributions.• Created a hyperspectral image processing algorithm, enhancing the efficiency of research throughput and data processing• Applied advanced computer vision techniques, significantly improving data precision and reliability for future projects

• Created a drone routing algorithm leveraging quantum annealing, enhancing operational efficiency• Integrated error mitigation and suppression techniques to improve model reliability• Researched the application of quantum annealing in machine learning to optimize predictive modeling and data analysis