Juan Bagnato is an AI and Machine Learning engineer with over a decade of hands-on experience building production ML systems, cloud-native architectures, and end-to-end data pipelines across startups and enterprises. He combines deep technical skills—Python, PySpark, TensorFlow/PyTorch, FastAPI, Airflow/Databricks—with practical MLOps, CI/CD, and cloud deployments on Azure, AWS and GCP to deliver cost-efficient, scalable solutions. As former CTO and team lead he brings product-minded leadership and business acumen from freelance and entrepreneurial ventures, evidenced by a popular ML blog (50K+ monthly readers) that publishes original tutorials and code. Recent work includes generative-AI document automation, call-center transcription/classification, time-series forecasting, and complex computer-vision pipelines that replaced manual inspection. He’s comfortable spanning strategy to implementation—optimizing performance, testing, and observability—and has a long track record of reducing operational costs while accelerating time-to-insight.
10 years of coding experience
18 years of employment as a software developer
Deep Reinforcement Learning Nanodegree Ingeniería informática, Deep Reinforcement Learning Nanodegree Ingeniería informática at Udacity
Ingeniero en Sistemas de Información relevamiento análisis diseño implementación, Ingeniero en Sistemas de Información relevamiento análisis diseño implementación at Universidad Tecnológica Nacional
Código Python, Jupyter Notebooks, archivos csv con ejemplos para los ejercicios del Blog aprendemachinelearning.com y del libro Aprende Machine Learning en Español
Contributions:23 commits, 58 pushes, 1 branch in 5 years 1 month
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Juan Bagnato - Ingeniero De Inteligencia Artificial at dLocal