Jose Espejo is an MLOps engineer with 11 years of hands-on experience building scalable ML and cloud-native systems, currently operationalizing model lifecycles at Factored after driving Data-Centric MLOps for computer vision at LANDING AI. His background spans web and backend development, data engineering, robotics and embedded systems, giving him a rare full-stack perspective on taking vision models from dataset design to edge and cloud deployment. He has reduced cloud costs and complexity through infrastructure rework and serverless architectures, and built production data pipelines using Spark/Scala and AWS technologies. A practiced educator and robotics hobbyist, he pairs lecturing experience in AI and computer vision with a habit of prototyping electronics and embedded robot projects.
11 years of coding experience
8 years of employment as a software developer
Grado en Ingenier铆a Ingenier铆a electr贸nica, Grado en Ingenier铆a Ingenier铆a electr贸nica at Universidad Mayor de San Andr茅s
Contributions:47 commits, 43 pushes, 1 branch in 1 month
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