“Creativity comes from applying things you learn in other fields to the field you work in.”
Hello, I'm Daniel Legorreta. With over a decade of experience spanning Data Engineering, Data Science, and Machine Learning Engineering, I focus on building complete, end-to-end AI systems. From developing national policy-changing NLP models to architecting highly scalable vector search engines and document extraction pipelines, I am passionate about leveraging data to solve complex real-world problems.
My core expertise includes:
- Advanced NLP and LLMs for large-scale information retrieval and text comparison.
- Scalable Forecasting models in distributed environments (Spark, Dask).
- High-impact Anomaly Detection and Risk Analysis systems.
- Computer Vision systems for Document Digitization and Information Extraction.
I constantly explore new techniques—from cutting-edge Deep Learning architectures to robust cloud deployments (AWS, GCP). I also enjoy sharing my knowledge through teaching and giving mentoring talks.
For a deeper dive into my background, click the button below.
Projects and Works
Building impactful AI is my passion. Below is a selection of projects where I've transformed complex challenges into scalable machine learning solutions, spanning from deep neural networks to robust cloud infrastructure. You can explore the code for most of these on my GitHub (some remain private due to confidentiality).
Blog
Thoughts, tutorials, and deep dives into AI and system design.
My Resume
To view the timeline of my professional career, technological stack, and formal experience, click the button below to review my resume.
Get In Touch
Whether you have questions, want to collaborate, or just want to connect, feel free to reach out. I typically respond fastest via email or LinkedIn.