Casey Hansen

Background

About Casey Hansen

Full-stack software engineer with expertise in Python/Django, data science, and modern UI development. Currently advancing scientific web applications at the EPA, where I've led the migration of legacy systems to modern tech stacks handling 7M+ references and implemented machine learning solutions that streamline critical workflows. I thrive at the intersection of robust backend development and intuitive user experiences, having architected data processing pipelines and RESTful APIs while also designing end-to-end UI/UX solutions from wireframing to implementation. My technical toolkit includes Python, Django, React, PostgreSQL, and various ML frameworks, complemented by tools like Docker, Git, Redis, and AWS Sagemaker. Passionate about building scalable systems that solve real-world problems, I pride myself on writing clean, maintainable code and fostering collaborative development environments. My background in both neuroscience and computer science gives me a unique perspective on creating technology that truly serves human needs. I enjoy mentoring fellow developers and am always looking to connect with others who share my enthusiasm for elegant solutions and continuous learning in this ever-evolving field.