Alexander Hagerf

Alexander Hagerf has a strong background in software engineering and data engineering. Alexander has experience working with various companies and has held roles such as ML Engineering Lead, Senior Software Engineer, and Consultant. Alexander is skilled in languages such as Scala, Python, Java, and Ruby, and has expertise in technologies such as Spark, MLflow, RabbitMQ, and Jenkins. Alexander has worked on projects involving data analysis, modeling, and building efficient data pipelines. Alexander also has experience in mentoring and giving lectures on topics like Domain Driven Design and Machine Learning.

Alexander Hagerf obtained a Master of Science (M.S.) degree in Engineering Physics from KTH Royal Institute of Technology, where they studied from 2004 to 2013. Alexander also pursued Spanish Language and Literature at Stockholm University from 2006 to 2007. In addition to their formal education, they have obtained several certifications, including being a Gremlin Certified Chaos Engineering Practitioner from Gremlin (obtained in 2021), Functional Program Design in Scala from Coursera (obtained in 2018), Big Data Analysis with Scala and Spark from Coursera (obtained in 2017), Functional Programming Principles in Scala from Coursera (obtained in 2017), and is a Certified ScrumMaster from Scrum Alliance (obtained in 2014).