Experienced engineer applying machine learning methods to complex problems. I focused my graduate work on developing and implementing applied deep learning techniques for clinical applications in the field of medical imaging. I transitioned into product data science for a SaaS mobile analytics insights platform where I built a mobile app taxonomy to generate new data insights for customers using an applied large language model. I then worked on the challenging field of payment security helping to protect Amazon customers and sellers from fraud and illegal activity. In this role, I supported the daily business operations of two Amazon stores by owning and improving a large ML infrastructure evaluation millions of real-time transactions. I am currently working in the solutions engineering field for enterprise AI applications, helping businesses leverage the HPE AI software stack to address their most critical strategic initiatives.I take pride in my natural curiosity, which drives my ability to adapt to new domains and quickly gain expertise within a role and organization. I am obsessed with efficiency and productivity both at an individual as well as a team and organizational level, and take great pleasure in addressing pain points affecting these areas. I have experience with agile methodologies such as Kanban and Scrum. I also love using and exploring open source tool stacks, while sharing my learnings with colleagues to fight against the inexorable organizational trend to keep reinventing the wheel.
Listed skills include Matlab, Microsoft Office, Microsoft Excel, Research, and 10 others.
