I thrive on collaboration to develop solutions that tackle real-world challenges, and engineering excites me because it demands continuous learning and technical growth while allowing me to express my creativity. Currently, as a Software Engineer and Data Analyst at SoCal Gas, I focus on automating manual processes to save time and reduce human error in managing critical data and data engineering tasks. My work also includes developing high-performance web solutions, such as a React.js dashboard for machine learning models that enhances scalability and reduces operational costs, a React.js dashboard that streamlines data governance and access requests, and integrating a machine learning model into a Swift iOS app for accurate, automated gas meter readings in field operations. Through these projects, I am committed to leveraging technology to drive efficiency and innovation within the organization.In previous roles, I’ve tackled diverse projects, from embedded systems for solar panel monitoring to automated workflows that streamline business processes. My technical toolkit includes Python, JavaScript, C++, Node.js, Django, SQL, and more, supported by strong communication and problem-solving skills.