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Agustin LoboAL
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Agustin Lobo

@agustinlobo

Full Stack Developer at Ministerio de Desarrollo Social de Tucumán, designing a system for reporting and tracking gender-based violence.

Argentina
Message

At Ministerio de Desarrollo Social de Tucumán, I develop and maintain social-program management systems, including the application and tracking system for Tarjeta Alimentar para celíacos. I also designed the complete architecture for a system to report and track gender-based violence, working with a four-person team and in direct contact with the state client.

My work includes analyzing, optimizing, and correcting existing government systems and databases. For my final degree project, I designed a hybrid DenseNet-121 deep learning model to classify 14 pathologies in chest X-rays, using a custom anti-leakage validation strategy.

Experience

Work history, roles, and key accomplishments

MT
Current

Desarrollo / Análisis / Arquitecto de BD

Ministerio de Desarrollo Social de Tucumán

May 2025 - Present (1 year 4 months)

Desarrollo y mantenimiento de sistemas de gestión de programas sociales, incluyendo el sistema de solicitud y seguimiento de la Tarjeta Alimentar para celíacos. Diseño de la arquitectura completa del sistema de denuncias y seguimiento de violencia de género, en equipo de 4 personas y con contacto directo con la entidad estatal cliente.

DT

Desarrollador Full Stack

Dirección de Estadística de Tucumán

Feb 2023 - Apr 2024 (1 year 2 months)

Desarrollo y optimización de sistemas internos para la Dirección, con foco en protección de rutas y encriptación de datos sensibles, en equipo de 3 personas.

Education

Degrees, certifications, and relevant coursework

UT

Universidad Nacional de Tucumán

Ingeniero en Informática, Computer Engineering

2021 - 2026

Completed a degree in Computer Engineering, with a final project on a hybrid deep learning model for chest X-ray classification.

RS

Rolling Code School

Programación Full Stack (MERN), Full Stack Development

2022 - 2023

Completed a Full Stack programming program with a focus on the MERN stack.

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