Education and Skills: With a degrees in Mechanical Engineering and Computational Modeling and Data Analytics (CMDA), I have gained a comprehensive skillset within both fields. My coursework has developed my abilities in subjects such as mathematical modeling, statistics, mechanical design, computer science, physics, technical writing, ethics, and effective teamwork, allowing me to approach challenges from multiple perspectives. I am Fundamentals of Engineering (FE Mechanical) Certified and have advanced programming skills in Python, Java, SQL, C/C++, R, MATLAB, Git, and Linux. I am well-versed in prototyping, finite element analysis (FEA), and computational fluid dynamics (CFD) using software such as Solidworks, Ansys, and Siemens NX. Additionally, my fluency in Spanish enables effective communication in diverse settings.

Work Experience: Throughout my academic journey, I have gained invaluable practical experience. As a private tutor, I have guided students through a wide range of subjects, including mathematics, physics, computer science, Spanish, and visual arts. This experience has strengthened my ability to communicate complex concepts effectively and adapt my teaching approach to meet individual needs. During my internship in Riobamba, Ecuador, I led software development and data analytics projects for a VT Agriculture and Applied Economics Research Group. I applied my technical expertise and leadership skills to contribute valuable insights and solutions. As a Data Science for the Public Good intern, I collaborated with Virginia Tech and the University of Virginia on research presented at a joint symposia. I leveraged convolutional and LSTM neural networks to analyze vegetative health using multispectral satellite data, and I helped reconstruct a multidimensional poverty index for the Zimbabwe Statistical Agency. In my role as a mathematics lecturer at VT SAASS, I delivered open lectures in various calculus courses, demonstrating my ability to engage and inspire students while conveying complex mathematical concepts. `

Research: My research endeavors have allowed me to delve into cutting-edge topics and make meaningful contributions. I served as a technical lead for the design and validation of an active control system aimed at improving the controllability of an antenna test fixture. Additionally, I explored reservoir computing models for dynamical system modeling, comparing their performance with existing frameworks. I also developed an algorithm to effectively differentiate noisy signals, adapting the Total Variation Regularized Derivative. In my CMDA capstone project, I designed and manufactured a pendulum with multiple swinging masses. With this prototype, I developed an object tracking algorithm and a theoretical framework to demonstrate eigenvalue analysis, providing future CMDA Math Modeling students with a practical learning tool. In my PPE capstone project, I applied economic research in neuroeconomics to analyze the impact of AI-induced neuropleasurable experiences, shedding light on ethical concerns and economic externalities.

Extracurricular: Beyond my academic pursuits, I have actively engaged in extracurricular activities. As a member of Virginia Tech Honors College, I taught a reading seminar on Romantic-Era Poetry and explored various subjects through faculty-student agreements. I have conducted investigations into information ethics, political realism, big nudging, and dynamical systems, showcasing my intellectual curiosity and critical thinking skills. Within the Sigma Phi Epsilon Fraternity, I served as the Academic Chair for the SigEp Learning Community. I routinely participated in fundraising efforts, generating over $30,000 annually for the Montgomery County Emergency Assistance Program (MCEAP). `