
Guillermo Álvarez
@guillermolvarez
Construyo plataformas backend, productos full-stack y pipelines de IA con Python, TypeScript y cloud.
What I'm looking for
He construido Predia, una plataforma de gestión clínica con IA que incluye 37 rutas de API, más de 20 modelos relacionales y un pipeline de riesgo de diabetes con 97.89% de exactitud documentada.
También diseñé SmartQuote AI, separando servicios HTTP de procesamiento asíncrono con FastAPI, PostgreSQL, Celery y Redis. Implementé procesamiento idempotente, extracción auditable de documentos PDF y flujos de catálogos asistidos por IA con validación estricta y aprobación humana.
En proyectos de visión por computadora y analítica académica, desarrollé una detección de somnolencia en tiempo real y dashboards que ayudaron a identificar estudiantes en riesgo. Me interesa construir sistemas backend escalables, soluciones cloud, pipelines de datos y productos de MLOps.
Experience
Work history, roles, and key accomplishments
Computer Vision Developer
Driver Drowsiness Detection
Built a real-time computer vision pipeline to classify eye state and estimate driver fatigue using facial landmarks and a convolutional neural network. Achieved 96.68% accuracy and 97.66% recall for closed-eye detection.
Full-Stack Developer
Predia
Developed a clinical management platform with 37 API routes and over 20 relational models. Built and integrated a diabetes risk pipeline using logistic regression, achieving 97.89% accuracy and 99.75% ROC-AUC.
Full-Stack Developer
Grades AI
Integrated Google Classroom via OAuth 2.0 with a FastAPI/PostgreSQL backend to import and normalize academic data. Developed Streamlit dashboards with over 8 statistical visualizations and an early warning model with 82% precision.
Backend Developer
SmartQuote AI
Designed architecture for a bidding and document platform, separating HTTP services from asynchronous processing. Built a Celery/Redis pipeline for PDF validation, text extraction, and quality assessment.
Education
Degrees, certifications, and relevant coursework
Universidad Politécnica de Querétaro
Bachelor of Engineering, Computer Systems Engineering
Grade: 9.0/10.0
Activities and societies: Relevant coursework: Data Structures, Algorithms, Databases, Operating Systems, Web Development, Artificial Intelligence.
Pursuing a degree in Computer Systems Engineering, currently in the 10th quarter of 10, with a GPA of 9.0/10.0.
Availability
Location
Authorized to work in
Portfolio
github.com/wowito68Job categories
Skills
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