Nicolas Metallo

Global AI Practice Lead at Automat-it

Madrid, Community of Madrid, Spain
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Summary

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Senior
🎓
Top School
Nicolas Metallo is a Global AI practice leader with nine years of experience designing and commercializing large-scale ML and Generative AI solutions across public sector and enterprise markets. He has driven over $25M in closed deals and built an $80M pipeline while leading sovereign and national LLM initiatives for 20+ governments, pairing technical architecture and hands-on model work with go-to-market strategy. At AWS he scaled deep learning systems to millions of users and led engineering and GTM for foundation-model deployments, and earlier built production computer-vision pipelines trained on 50M+ images. Nicolas combines engineering depth (Python, SageMaker, Bedrock, model fine-tuning) with business-savvy from consulting and startups, including co-founding an award-winning accessibility AI venture. Based in Madrid with an MS from NYU and international experience from Argentina to South Korea, he brings a rare mix of field-proven ML delivery, policy-facing program leadership, and entrepreneurial grit.
code10 years of coding experience
job12 years of employment as a software developer
bookMaster of Science - MS Technology Management & Innovation, Master of Science - MS Technology Management & Innovation at New York University
bookSpecialization Nanotechnology, Specialization Nanotechnology at Technische Universität Ilmenau
bookPosgraduate Diploma Technology Management, Posgraduate Diploma Technology Management at Ajou University
bookMaster of Science - MS Mechanical Engineering, Master of Science - MS Mechanical Engineering at Universidad Tecnológica Nacional
languagesSpanish, English, German
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Github Skills (11)

keras9
object-detection8
tensorflow7
mask-rcnn7
instance-segmentation6
pytorch1
aws-lambda1
mask1
deep-learning1
segmentation1
lambda1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Detect dents and scratches in cars. Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow.
Contributions:20 commits in 13 days
instance-segmentationkerasmask-rcnnobject-detectiontensorflow
Contributions:22 commits in 11 days
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