Summary
Martin Pejcoch is a Lead Developer and system architect with 11 years of experience designing high-availability data pipelines and production-grade systems across energy, maritime, and telecommunications sectors. He is fluent in Go and Python, comfortable with Linux and cloud-native stacks (k8s, Azure), and has a track record of turning scientific code into operational services for meteorological and environmental data. At Maritime Optima he combined backend engineering with geospatial analytics and machine learning, applying tools like Pandas, GeoPandas, Spark and Databricks to extract behavioral patterns from ship data. Known for bridging research and production, he has led teams, driven architecture shifts toward automation and monitoring, and advocated AI adoption inside organisations like MET Norway. He holds a Master’s in Computer Science and completed a data science/machine learning nanodegree, reflecting a continuous drive to pair rigorous academic foundations with pragmatic engineering. Based in the Greater Oslo Region, he brings a rare mix of operational reliability, data-science curiosity, and hands-on backend craftsmanship.
11 years of coding experience
14 years of employment as a software developer
Nanodegree, Data Science / Machine Learning, Nanodegree, Data Science / Machine Learning at Udacity
Universidad de Granada
computer science, computer engineering, computer science, computer engineering at Kansas State University
Norwegian University of Science and Technology
Master's degree, Computer Science, Master's degree, Computer Science at Czech Technical University in Prague
English, Czech, Norwegian, Spanish