I specialize in designing and implementing AI automation workflows using agentic programming patterns and reasoning models. Through hands-on experience with LLMs and AI agents, I've developed systems that leverage multi-step reasoning, tool integration, and autonomous decision-making to solve complex business problems.
I have a technical background working on key infrastructure projects, primarily developing in C++ and Python. My work focuses on building scalable, high-performance systems that handle critical business operations and serve many users with reliability and efficiency.
I have experience working closely with product stakeholders to translate business requirements into technical solutions. I earned a business minor through the Ross School of Business at the University of Michigan and have worked with multiple LLCs in various capacities throughout my career.
I helped lead Shift Creator Space at the University of Michigan, where I mentored 30+ creators through their own paths to making a final project, including art, businesses, or novel technologies.
Currently I work at Bloomberg as a software engineer, where I work on core privileging infrastructure for their Enterprise Products. I also lead a group of around 300 engineers in sharing and implementing new best practices in AI automation workflows. I have a passion for building products that help people, and I love to work on projects that combine my interests in technology, design, and business.