Hello! I am Miguel, and I help build reliable and scalable software systems at Amazon.

I have worked with the Alexa organization at Amazon during the past two summers in Bellevue, WA. My work focused on developing an experimental framework for the Alexa team to benchmark the performance of statistical models responsible for routing user utterances to the appropriate skills and service domains in such a way bad performing models are dynamically replaced during runtime. Additionally, I contributed to the transition toward an LLM-powered Alexa, driving innovation in conversational AI.

I am a junior at Stevens Institute of Technology, pursuing degrees in Computer Science and Mathematics. At Stevens, I actively work on advancing machine learning methods across various domains.

For the past year, I have been a member of the ScAI (Scientific AI) lab, exploring the intersection of numerical methods in physics and machine learning. I am collaborating with Los Alamos National Laboratory on a research project developing ML models to predict gas saturation diffusion in porous media.

I actively serve as a VP of Technology at Blueprint, a student-run organization at Stevens that provides software solutions to non-profits at no cost. I am responsible for leading the development of software solutions for our organizations, managing the technology team, ensuring the quality of our deliverables, and managing our cloud infrastructure.

Please feel free to reach out to me at mmerlin[at]stevens[dot]edu. I am happy to chat.