Summary
Adam Alpire is a Staff Software Engineer specializing in GenAI systems and MLOps with 12 years of experience building and scaling industrial AI at companies like DataRobot, Siemens, and CAPE Analytics. He designs production-ready ML infrastructure—from edge-to-cloud hybrid architectures and GPU datacenter stacks to model serving with Triton and BentoML—supporting hundreds of models and millions of predictions per day. Adam has led cross-functional teams and advised on large-scale GPU datacenter designs (15MW) and benchmarking across NVIDIA, Intel, and AMD for Llama3 training and inference. He pairs hands-on backend and MLOps engineering with strategic product and sales advisory, enabling AI Factories and AI governance in enterprise contexts. Based in Erlangen, Germany, he holds advanced degrees in data science from KTH and UP Madrid and brings an entrepreneurial spirit alongside a personal passion for animals and sport.
12 years of coding experience
10 years of employment as a software developer
Master's Degree in Data Mining and Distributed Systems for Really Big Data, Master's Degree in Data Mining and Distributed Systems for Really Big Data at KTH Royal Institute of Technology
Master's Programme in ICT Innovation: Data Science (EIT Digital Master School), Master's Programme in ICT Innovation: Data Science (EIT Digital Master School) at Universidad Politécnica de Madrid
Spanish, English, German