Alexander Hagerf
About Alexander Hagerf
Alexander Hagerf serves as the ML Engineering Lead at Emplifi, where he manages machine learning workflows using tools like MLflow and Databricks. He specializes in deploying inferencing pipelines and leads a team at the intersection of Data Engineering and MLOps.
Work at Emplifi
Alexander Hagerf has been serving as the ML Engineering Lead at Emplifi since 2021. In this role, he leads a team that focuses on the integration of Data Engineering and MLOps. His responsibilities include managing machine learning workflows and deploying inferencing pipelines tailored to specific use cases. He works from the company's office in Prague, Czechia.
Education and Expertise
Alexander Hagerf studied at KTH Royal Institute of Technology, where he earned a Master of Science (M.S.) in Engineering Physics from 2004 to 2013. He also attended Stockholm University for one year in 2006 to 2007, focusing on Spanish Language and Literature. His educational background supports his expertise in machine learning and data engineering.
Background
Alexander Hagerf has a strong background in machine learning and data engineering. He specializes in deploying inferencing pipelines and ML models, utilizing a combination of batch processing and streaming techniques. His experience includes integrating technologies such as Akka Streams and RabbitMQ to enhance ML operations.
Technical Skills and Tools
In his role, Alexander employs tools like MLflow and Databricks for managing machine learning workflows. His technical skills encompass a range of methodologies and technologies that facilitate efficient machine learning operations, particularly in the context of MLOps.