Coming soon
Reliability in agents
Notes on making tool-using agents predictable and fast.
Hello! I'm Miguel. I love working on challenging, impactful problems. I'm currently focused on physics-informed neural networks, large language models, deep learning theory, and software at scale. My main passion lies in exploring agent optimization—everything from improving reasoning models to reducing inference latency in distributed systems.
When I'm not working, I enjoy playing guitar and I'm an avid fan of jazz. I also love exploring other disciplines, including philosophy, literature, and art. At my core, I'm passionate about learning how the world works.
Please feel free to reach out at mmerlin[at]stevens[dot]edu. I'm always happy to chat.
Coming soon
Notes on making tool-using agents predictable and fast.
Coming soon
Experiments in reducing LLM response times in distributed systems.
Email mmerlin[at]stevens[dot]edu to be notified when posts drop.
| Jun 1, 2025 | I will be returning to Alexa as a Machine Learning Engineer. |
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| Nov 12, 2024 | Returning to Amazon as a Machine Learning Engineer Intern focused on conversational improvements and inference latency. |
| Feb 22, 2024 | Received my return offer from Amazon to join Alexa as a Software Engineer Intern. |
| Sep 2025 | CDK Website Construct Reusable AWS CDK construct to deploy a website via S3 and CloudFront. npm package |
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| Aug 2025 | CDK Pipeline Construct Reusable AWS CDK construct for CI/CD pipelines with optional webhook integrations. npm package |