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Hola 👋, soy Carlos Valle

Ingeniero Especializado en Ciencia de Datos y Aprendizaje Automático

Soy un ingeniero apasionado por desarrollar soluciones innovadoras en ciencia de datos, aprendizaje automático y computación distribuida. Me interesa mucho el análisis de datos, así como el deployment de estas aplicaciones mediante CI/CD y el uso de clusters con software especializado como Kubernetes.

  • 🔭 Actualmente trabajo como Investigador Postdoctoral en iHealth.
  • 🌱 Estoy ampliando mi experiencia en Ciencia de Datos y Aprendizaje Automático, aplicando habilidades analíticas a múltiples campos.
  • 🚀 Mira mi proyecto sobre "Métricas del Sentido del Humor" en esdh.cvalle.dev.
  • 🧠 También tengo experiencia en el desarrollo de soluciones de Neuroprótesis.
  • 📫 Cómo contactarme: [email protected]

Lenguajes y Herramientas:

git linux python pytorch qt tensorflow

cgvalle's Projects

cgvalle icon cgvalle

Config files for my GitHub profile.

covidbotcl icon covidbotcl

Personalized information about covid19 pandemic in Chile using messaging apps

docker_freesurfer_vnc icon docker_freesurfer_vnc

The Docker container "FreeSurfer_vnc" is a platform-independent solution for running the popular brain imaging package, FreeSurfer. It is compatible with Windows, Mac, and Linux and can be accessed through a browser or VNC remote connection.

envio_de_notas icon envio_de_notas

Script para enviar reportes de notas por correo de manera automatica

large_spanish_eeg icon large_spanish_eeg

The Large Spanish Speech EEG dataset is a collection of EEG recordings from 56 healthy participants who listened to 30 Spanish sentences. The dataset will be available for download through openNeuro.

ml-hub icon ml-hub

🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.

ml-workspace icon ml-workspace

🛠 All-in-one web-based IDE specialized for machine learning and data science.

spikes-and-nets icon spikes-and-nets

S&N is a new software for neuronal spike train analysis which offers user-friendly, fast interface, multi-platform, automatic archiving, complete set of methods and efficient handling of large numbers of neuronal spike trains files.

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