With over 15 years of software development expertise and specialized skills in bioinformatics and machine learning, I am a seasoned Software Engineer and Data Scientist dedicated to the advancement of computational solutions in genomics and personalized medicine. My academic background includes a BS and MS in Computer Science, with a concentration in Machine Learning, equipping me with a deep understanding of complex algorithm design and data analysis.My professional journey includes significant roles, such as my recent position at Peptilogics, where I developed a sophisticated data pipeline that integrates advanced machine learning algorithms to accelerate drug discovery. This role involved substantial work with Graph Neural Networks and the enhancement of various predictive tools.Previously, at the University of Utah's Department of Human Genetics, I spearheaded the development of "Graphite," a sophisticated graph-based NGS re-alignment tool. Graphite incorporates genetic variants into a reference genome to construct a more representative graph structure, significantly enhancing the accuracy of variant identification. This tool proves exceptionally useful in areas where representing multiple "paths" through a genome is crucial to analysis.At the Scientific Computing and Imaging Institute, I developed remote visualization tools and large-scale data systems that supported real-time scientific data analysis, enhancing collaborative efforts and decision-making in research and clinical settings.I excel in environments that demand technical expertise and foster innovation. I am eager to collaborate with forward-thinking professionals to develop AI-driven genomic solutions that significantly impact healthcare and research.