As a software developer at the University of Utah School of Medicine, I work on web-based applications for genetic variants detection. I use Python, JavaScript, Vue, and Nodejs to create user-friendly and interactive interfaces that enable researchers to analyze and visualize genomic data. With my master's degree in computer software engineering, I have acquired strong technical skills and a solid foundation in software design and development.Previously, I was a creativity and innovation specialist at the University of Utah, where I built an application to transcribe video and audio to different formats using open-source OpenAI Whisper. I also provided consultation to students and faculties on 3D modeling and assisted with 3D designing, scanning, and printing. During my internship at Enveda Biosciences, I built up CI/CD pipelines to process bio-lab data and discover new drugs, and launched a web application to support machine learning inference.My goal is to become a full-stack software engineer and leverage my web development skills and domain knowledge in biotechnology to create impactful and innovative solutions for the healthcare industry. I am passionate about learning new technologies and frameworks and collaborating with diverse and talented teams.