Atlanta, Georgia, United States
As a senior at Georgia Tech, I am pursuing a degree in Mechanical Engineering, with a keen interest in the intersection of engineering and computer science. My academic journey has ignited my passion for product design, machine learning, artificial intelligence, and data analytics, which I have applied to various personal and research projects. Most recently, I completed a four-month internship at Motus Nova, where I developed a multi-axis angle sensor for the Motus Foot product, a robotic device that helps stroke survivors regain their mobility. I also engineered a streamlined data messaging pipeline using Python and SQL, delivering timely progress updates to users and improving patient engagement. Additionally, I have been involved in several research roles, ranging from software engineering and image processing to relativistic astrophysics, collaborating with distinguished professors and postdoctoral fellows at Georgia Tech. My goal is to make meaningful contributions to the advancement of both theoretical exploration and practical application, driven by my curiosity and problem-solving skills.
In collaboration with a postdoctoral fellow, I spearheaded research in relativistic astrophysics, meticulously cataloging and analyzing quasi-periodic oscillations in X-ray emissions from neutron star binary systems using data from NASA archives. Oversaw the creation of a catalog, enhancing our collective understanding of these phenomena, and designed a data processing pipeline. Played a key role in refining analytical methodologies, fostering cross-disciplinary collaboration, and extracting meaningful insights from complex datasets. Our findings are poised to contribute significantly to the field and will be published in a forthcoming scientific paper.
I led the development of a multi-axis angle sensor for the Motus Foot product, enhancing its capabilities and market potential. Through rigorous testing in controlled labs and real-world scenarios, I ensured the sensor's accuracy and reliability. Improved data communication with a Python and SQL-based pipeline, providing users with timely progress updates and boosting engagement in their rehabilitation. Automation was introduced for patient updates, improving engagement, while efficient inventory management and device distribution were implemented. Additionally, I contributed to their online presence by integrating patient experience videos and creating an interactive U.S. deployment map, resulting in increased user engagement and expanded outreach.
In collaboration with a Professor at the REAR Lab at Georgia Tech, I played a pivotal role in advancing image processing on multiphoton microscopy images using MATLAB. I led the development of an innovative image analysis pipeline, dissecting multi-frame TIFF images into distinct layers and leveraging MATLAB to streamline and enhance the analysis process. Through enhancements to the file structure and the integration of powerful in-built Image Processing Techniques in MATLAB, such as Threshold and Circle Detection, I significantly improved the efficiency and accuracy of the pipeline. My adaptability and collaboration skills were key in troubleshooting challenges and implementing enhancements, resulting in an accelerated insights extraction process.
In collaboration with a dedicated graduate student and accomplished Professor at the BRHM Lab, I made significant contributions to research aimed at enhancing haptic device performance in physical human-robot interactions (pHRI). Our study focused on optimizing key performance factors such as task speed, accuracy, interaction port behavior, and user experience by improving the haptic device's understanding of the operator's dynamics during interaction. I played a crucial role in creating and testing a haptic system that adapted control gains and parameters based on both the operator's physical state and cognitive intent. I also conducted hands-on experiments with the haptic device, acquired valuable data, and upheld ethical standards through Institutional Review Board (IRB) protocols. My collaborative efforts with a graduate student resulted in iterative improvements, and I demonstrated proficiency in troubleshooting complex device intricacies while maintaining transparent and proactive communication regarding our research progress.
In collaboration with a Professor in the Mechanical Engineering Department at Georgia Tech, I led an innovative project focused on reducing radiation exposure in Catheterization Laboratories. Our endeavor involved an in-depth analysis of existing radiation levels, an evaluation of previous exposure mitigation efforts, and the proposal of novel, cost-effective solutions. With a keen understanding of spatial dynamics and product design intricacies, I led the ideation phase, collaborating with interdisciplinary experts to ensure compliance with medical safety standards. Our solutions, intricately integrated into the Catheterization Lab's workflow, underwent comprehensive prototype development, addressing ergonomic considerations and usability. My contributions, rooted in engineering principles, spatial analysis, and product design, significantly advanced our project's outcomes.
In my role, I acquired hands-on expertise in cockpit systems, with a specialization in critical take-off and landing systems. I conducted vital instrument tests crucial for ensuring safe and efficient aircraft operations. This experience provided invaluable insights into aviation technology and contributed to enhancing precision and safety in aviation engineering, emphasizing my commitment to excellence in this field.