Speaking & publications

Complex work, made clear enough to share.

I speak and write about machine learning, open-source workflows, AI systems and the engineering required to move from analysis to a useful product.

WUSS speaker & scholar MWSUG co-author RVAtech Data + AI Peer-reviewed research

Selected appearances

On stage and in the room.

The strongest entries include what I presented and why it mattered—not just a conference logo. Events are ordered by date.

Miguel speaking about machine-learning models at WUSS

WUSS 2025 · Section chair & co-presenter

Two practical roadmaps for AI and data science workflows

Co-presented “Charting Your AI Journey” and “Building Better Data Science Workflows” and served as section chair for Masterpiece Theater and hands-on workshops.

RVAtech Data and AI Summit poster for a Git, GitHub and DVC presentation

RVAtech Data + AI Summit · March 2025

Building Better Data Science Workflows

A practical session on Git, GitHub and Data Version Control for reproducible, collaborative development, co-presented with Ryan Paul Lafler.

Cover graphic for the PROC PYTHON and SAS Viya conference paper

MWSUG 2024 · Co-author

Enhancing SAS Viya Workflows with Python

A technical paper and presentation showing how PROC PYTHON connects SAS Viya with Python’s open-source libraries for data preparation, modeling and visualization.

Miguel presenting the flight-delay prediction project at WUSS 2024

WUSS 2024 · Student scholar & presenter

Flight Delay and Cancellation Analysis

Presented a seven-model comparison over a large aviation and weather dataset, including the practical impact of class imbalance on model evaluation.

The RVAtech slide deck is intentionally not mirrored here because its copyright notice restricts redistribution. The event and talk remain documented through the official page.

Technical writing

Methods, systems and evidence.

Full reports stay available for readers who want methodology and limitations, while the project pages provide a faster path through the work.

Peer reviewed · Climate

iHeatApp system architecture, modeling and user-centered evaluation

First-author research associated with Agricultural and Forest Meteorology.

Project

MWSUG 2024 · Paper 93

Enhancing Your SAS Viya Workflows with Python

Ryan Paul Lafler and Miguel Ángel Bravo Martínez Del Valle.

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WUSS 2024 · Machine learning

Flight Delay and Cancellation Analysis

Aviation and weather data integration, model comparison and interactive delivery.

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SDSU 2025 · Capstone

Weather with Cloudya

Full-stack climate architecture, edge deployment and AI-assisted interpretation.

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Miguel Bravo in graduation attire at San Diego State University
Speaker · Author Open source + AI

Invite or collaborate

Good technical communication starts with the real trade-offs.

I am interested in talks and collaborations around production AI, climate data, geospatial products, Python ecosystems and practical MLOps.