I am a fervent, interdisciplinary problem solver, eager to bridge the fields of machine learning, computer architecture, and medicine. I strive for excellence in any task ensuring a diverse set of skills and efficient interdisciplinary communication. I appreciate every challenge I have faced throughout my life and ingrained the imparted lessons. I will continue embracing every journey with a mindset of continuous learning due to my core value: "The obstacles in your path define the path. What stands in the way becomes the way."
Every project I undertake further expands my skillset. I start each project with clear goals such as learning a new library/package, applying theory, or collaborating on a large-scale design. Setting concrete goals ensures I experience growth through active feedback and results; noting what worked and why so every completed project becomes both proof of progress and motivation for my next challenge.
Come see my projectsI am a steadfast worker who approaches every challenge with reliability. I have experience guiding my peers, fostering their development. Leadership also requires receptiveness to guidance; I value feedback from my mentors across industries. My interdisciplinary background connects confident leadership with a willingness to learn from experts. I seek environments where collaboration, innovation, and shared success can thrive.
More about my employmentMy multidisciplinary foundation in Computer Engineering, Computer Science, and Mathematics from UW-Madison shapes my ability to think critically across systems, algorithms, and hardware. I am set to begin my M.S. in Applied Biomedical Engineering at Johns Hopkins University during spring 2026. I'm committed to applying technical depth toward impactful, real-world challenges at the intersection of healthcare and technology.
Learn more about my education