As a freshly minted PhD in Computer Science, I am eager to embark on my professional career where I can focus on building effective and meaningful solutions for the critical challenges our world faces. Over the past six years at University of Missouri - Columbia, I honed my expertise in machine learning and computer vision through innovative research involving the analysis of satellite imagery, aerial video sequences, and health data. My experience includes developing sophisticated multi-user pipelines for training and containerizing machine learning models, orchestrating large-scale experiments for remote sensing applications, and enhancing codebases for image processing and data visualization. This hands-on work culminated in over twenty peer-reviewed publications and numerous reports for sponsors, showcasing my ability to translate complex data into interpretable insights. In addition to my technical skills, I effectively communicated intricate concepts as a teaching assistant, developing and teaching course content across Python, R, statistics, and computer vision. I am passionate about leveraging my background in image classification, object detection, data clustering, and object tracking while striving to stay current with advancements in natural language processing, multi-modal computational intelligence, and 3D reconstruction.At the moment, I am seeking a role where I can collaborate on innovative projects across any number of diverse data domains. Believing that teamwork and determination can create incredible outcomes, I hope to find a home in an organization with a similar desire to create positive changes for our communities. I am eager to connect with seasoned professionals, contribute my skills, and grow alongside others who share my vision for creating solutions that benefit us all.