I’m Jonathan Herrera, an AI/ML engineer with 5 years of experience spanning academic research and enterprise deployment. I specialize in Python-based machine learning, deep learning frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-Learn), and end-to-end LLM integration. I design Retrieval-Augmented Generation (RAG) pipelines, build scalable full-stack applications using React and Node.js, and automate workflows with cloud-native solutions. I’m currently pursuing a Master’s in Technological Project Management to bridge research innovation with production-ready systems.
I collaborate across teams to translate research into production-ready systems, lead agile processes, and continuously improve deployments with reliable monitoring and guardrails. My work combines rigorous ML research with practical software engineering to deliver robust, scalable solutions for enterprise clients and academic partners.
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