Projects, research, and experiences that have shaped my path.
From software to data and AI — applying technology to real problems and building meaningful impact.
Development of a Model Context Protocol server exposing structured Ghost CMS operations to AI agents, with tool contracts, API integration, validation, and security controls for editorial automation.
End-to-end computer vision pipeline for mammogram analysis, spanning medical dataset normalization, YOLO object detection models, and a containerized web demo with async job queues.
A web application for recording feline health history, tracking weight changes, organizing veterinary notes and photographs, and reviewing health records across devices.
Production digital publication dedicated to feline health, running on hardened self-hosted infrastructure: Ghost CMS, Docker, MariaDB, Nginx with Brotli, custom imgproxy pipeline, and automated email workers.
Economic impact modeling for a more competitive Yucatán. Computable General Equilibrium framework for maritime expansion and logistics optimization.
Building repeatable text extraction and OCR pipelines for legal documents, including page-level provenance, integrity checks, quality validation, and batch-oriented processing.
A modular platform for ingesting, processing, organizing, and exploring judicial datasets through centralized storage, observability, and AI-assisted analysis tooling.
Engineering work across medical imaging preprocessing, detection models, reporting services, and evolving inference and deployment architectures.
Co-authored book on institutional efficiency and quality in the Federal Judiciary of Mexico: applied data analytics over millions of SISE records, with institutional indicators and evidence-based recommendations. Published in 2025 by the Escuela Nacional de Formación Judicial, ISBN 978-970-96691-4-5. This record corresponds to the book; the related applied project is presented separately as judicial-digital-governance.
Applied research using institutional data integration, analytics, and performance indicators to study judicial management and evidence-driven digital transformation.
Contributions to a legal AI web application through reusable React and TypeScript components, API integration, and real-time event-driven interfaces.
Designing document workflows combining extraction, rule-based validation, named-entity recognition, and human review to support privacy-sensitive legal document processing.
Methodological mentorship for building, evaluating, and interpreting machine-learning classification models for healthcare datasets.
Integration and normalization of heterogeneous institutional datasets into analytical repositories, indicators, and consultation tools for applied research.
Designing and delivering hands-on instruction in data preparation, regression, clustering, imputation, perceptrons, and neural networks using R.
Co-authored study on home-delivery platforms in the Mexican economy (Final Report, 2021): employment, income, COVID-19 effects and CO2 emissions, using Economic Census and ENOE data, interviews and scenario building, with public-policy recommendations. Name on cover among five authors.
100% of coursework credits completed. Research: Hyper-heuristic framework for automated parameter tuning of evolutionary computation algorithms applied to engineering problems.
High-performance research and development in mobile GPU architectures. Thesis: RenderScript-based OMP (Orthogonal Matching Pursuit) implementation for mobile GPUs. Conferred with Honors (Mención Honorífica).
I contributed section II.1 of the General Report on the State of Science, Technology and Innovation in Mexico 2016 (acknowledgments). Report published by CONACYT.
I contributed sections II.1 and II.2 of the General Report on the State of Science, Technology and Innovation in Mexico 2015, jointly with Marco Antonio Macías Cedeño (acknowledgments). Report published by CONACYT.
Academic article on a parallelization strategy based on RenderScript reductions: parallel computing over mobile GPUs, related to the OMP/RenderScript master thesis line. By Francisco Rafael Suárez Ruiz, Jesús Antonio Álvarez Cedillo and Alfonso Fernández Vázquez. Research in Computing Science 78:137–146.
Academic article in Spanish on parallel reductions in RenderScript. By Jesús Álvarez-Cedillo, Juan Herrera-Lozada and Francisco Suárez-Ruiz. Programación Matemática y Software 6(3):22–28. DOI 10.30973/progmat/2014.6.3/4.
Rigorous foundation in software engineering, systems architecture, algorithms, and scientific computing. Final project Qbito: 2013 Best Written Degree Work Award and 3rd place at XVIII Expo ESCOM 2013.
Design of a relational database and document registration system to organize engineering drawings, migrate legacy files, and support technical document retrieval.
