As a recent Computer Systems Engineering graduate from Arizona State University, I bring a robust skill set in software development, machine learning, and embedded systems to the table. My experience during education was focused on algorithms, data analytics, hardware design and work in cutting-edge machine learning research.My professional experience spans diverse roles, from night auditing at Graduate Hotels to machine learning development at Bit Space Development. These experiences have honed my abilities in team communication, process automation, and machine learning solutions. During my internship at GE Transportation, I developed hardware-based CPU monitoring tools and refined my embedded software skills.I'm proficient in Python and C/C++, with a working knowledge of Java, Verilog, and SQL. My machine learning toolkit includes TensorFlow, NetworkX, PyTorch, and Computer Vision. My embedded systems expertise spans FPGA design, Linux kernel development, and embedded C programming.Projects I have worked on include AI-generated scientific paper detection software, real-time object identification and tracking software, as well as autonomous navigation robot built on an embedded microcontroller. I spent two semesters conducting machine learning research using the ASU SoI supercomputer for computational biology. I thrive in fast-paced environments where I can leverage my problem-solving, communication, and analytical skills. With a constant eye on emerging technologies, I'm eager to contribute to the fields of embedded systems or machine learning.