“Creativity comes from applying things you learn in other fields to the field you work in.”

Aaron Swartz

Hello, I'm Daniel Legorreta, and this is my personal page. My work centers on end-to-end machine learning projects (ML lifecycle), where I contribute my skills as a data engineer, data scientist, and machine learning engineer. This diverse experience has allowed me to gain proficiency in a wide array of technologies and methodologies and to operate effectively in different roles within ML projects. I am passionate about constructing robust machine learning systems that encompass more than just models, dashboards, or pipelines. My key areas of focus include the implementation of:

  • Natural Language Processing (NLP) for diverse business applications(LLMs aplications).
  • Forecasting models in distributed and non-distributed computing environments.
  • Anomaly detection models.
  • Segmentation and Object Detection models

    I have always liked learning and researching new techniques or algorithms and trying them out on a personal project. I also enjoy sharing what I learn, giving talks, courses in schools or work teams.

    If you want more details about me, in the next button you can see it.

    • Projects and works

    On this page you can find details about projects I have worked on or I am working on. Of most of them I share the code in my repository in github, of most of them I share the code in my repository in github, but of others I only give the description because they were private projects.

    Blog

    Some topics that interest me.

    My Resume

    If you are interested in knowing some details about my professional career, you can see them in my resume in the following button.

    Get In Touch

    If you want to ask me any questions, collaborate or just want to be in contact with me, you can send me a message. I usually respond faster via email or LinkedIn.